Task execution_timeout parameter not respected for virtualenv operator

### Apache Airflow Provider(s)

standard

### Versions of Apache Airflow Providers

apache-airflow-providers-standard==1.9.0

### Apache Airflow version

3.1.1 / 2.10.5

### Operating System

Linux, MacOS, no difference

### Deployment

Official Apache Airflow Helm Chart

### Deployment details

Reproduced with both helm chart deployment or docker compose.

### What happened

When there is a HTTP connection open inside a task that holds indefinitely, the `execution_timeout` parameter is not respected and the task is never killed, and runs indefinitely. If I manually kill the task via UI, it works as expected. But not the automatic. This is really problematic if you are controlling the concurrency of tasks because it blocks other runs. Interesting is, that it shows in the logs as timeouted, but the task keeps in running state.

```
[2025-11-02 11:31:20] INFO - New Python virtual environment created in /tmp/venv_cache/venv-da1df057 source=airflow.task.operators.airflow.providers.standard.decorators.python_virtualenv._PythonVirtualenvDecoratedOperator loc=python.py:861
[2025-11-02 11:31:20] INFO - Use 'pickle' as serializer. source=airflow.task.operators.airflow.providers.standard.decorators.python_virtualenv._PythonVirtualenvDecoratedOperator loc=python.py:509
[2025-11-02 11:31:20] INFO - Executing cmd: /tmp/venv_cache/venv-da1df057/bin/python /tmp/venv-callsouh24fg/script.py /tmp/venv-callsouh24fg/script.in /tmp/venv-callsouh24fg/script.out /tmp/venv-callsouh24fg/string_args.txt /tmp/venv-callsouh24fg/termination.log /tmp/venv-callsouh24fg/airflow_context.json source=airflow.utils.process_utils loc=process_utils.py:188
[2025-11-02 11:31:20] INFO - Output: source=airflow.utils.process_utils loc=process_utils.py:192
[2025-11-02 11:32:18] ERROR - Process timed out pid=91 source=task loc=timeout.py:37
```

### What you think should happen instead

Task should be killed automatically

### How to reproduce

```python
from airflow import DAG
from datetime import datetime, timedelta
from airflow.sdk import task

default_args = {
"venv_cache_path": "/tmp/venv_cache",
"requirements": ["requests"],
"execution_timeout": timedelta(minutes=1),
"prority_weight": 10,
}

with DAG(
dag_id="blocking_dag",
start_date=datetime(2025, 1, 30),
description=VERSION,
schedule=None,
default_args=default_args,
):

@task.virtualenv()
def block_x_seconds_http_venv(blocking_time):
"""Block on an HTTP request"""
import requests
import time

url = "https://httpbun.org/delay/{}".format(blocking_time)
print(f"Making blocking HTTP request to: {url}")

response = requests.get(url)
print(f"Response status: {response.status_code}")
print(f"Response time: {response.elapsed.total_seconds():.2f} seconds")
return response.status_code

@task()
def block_x_seconds_http(blocking_time):
"""Block on an HTTP request"""
import requests
import time

url = "https://httpbun.org/delay/{}".format(blocking_time)
print(f"Making blocking HTTP request to: {url}")

response = requests.get(url)
print(f"Response status: {response.status_code}")
print(f"Response time: {response.elapsed.total_seconds():.2f} seconds")
return response.status_code

block_x_seconds_http_venv.override(task_id="block_venv_300_seconds")(300)
block_x_seconds_http.override(task_id="block_300_seconds")(300)

```

### Anything else

Complete logs after task is finished (the http block time is released)

```
[2025-11-02 11:31:18] INFO - Using CPython 3.12.12 interpreter at: /usr/python/bin/python source=airflow.utils.process_utils loc=process_utils.py:196
[2025-11-02 11:31:18] INFO - Creating virtual environment with seed packages at: /tmp/venv_cache/venv-da1df057 source=airflow.utils.process_utils loc=process_utils.py:196
[2025-11-02 11:31:19] INFO - + pip==25.3 source=airflow.utils.process_utils loc=process_utils.py:196
[2025-11-02 11:31:19] INFO - Executing cmd: uv pip install --python /tmp/venv_cache/venv-da1df057/bin/python -r /tmp/venv_cache/venv-da1df057/requirements.txt source=airflow.utils.process_utils loc=process_utils.py:188
[2025-11-02 11:31:19] INFO - Output: source=airflow.utils.process_utils loc=process_utils.py:192
[2025-11-02 11:31:19] INFO - Using Python 3.12.12 environment at: /tmp/venv_cache/venv-da1df057 source=airflow.utils.process_utils loc=process_utils.py:196
[2025-11-02 11:31:20] INFO - Resolved 5 packages in 614ms source=airflow.utils.process_utils loc=process_utils.py:196
[2025-11-02 11:31:20] INFO - Prepared 5 packages in 304ms source=airflow.utils.process_utils loc=process_utils.py:196
[2025-11-02 11:31:20] INFO - Installed 5 packages in 2ms source=airflow.utils.process_utils loc=process_utils.py:196
[2025-11-02 11:31:20] INFO - + certifi==2025.10.5 source=airflow.utils.process_utils loc=process_utils.py:196
[2025-11-02 11:31:20] INFO - + charset-normalizer==3.4.4 source=airflow.utils.process_utils loc=process_utils.py:196
[2025-11-02 11:31:20] INFO - + idna==3.11 source=airflow.utils.process_utils loc=process_utils.py:196
[2025-11-02 11:31:20] INFO - + requests==2.32.5 source=airflow.utils.process_utils loc=process_utils.py:196
[2025-11-02 11:31:20] INFO - + urllib3==2.5.0 source=airflow.utils.process_utils loc=process_utils.py:196
[2025-11-02 11:31:20] INFO - New Python virtual environment created in /tmp/venv_cache/venv-da1df057 source=airflow.task.operators.airflow.providers.standard.decorators.python_virtualenv._PythonVirtualenvDecoratedOperator loc=python.py:861
[2025-11-02 11:31:20] INFO - Use 'pickle' as serializer. source=airflow.task.operators.airflow.providers.standard.decorators.python_virtualenv._PythonVirtualenvDecoratedOperator loc=python.py:509
[2025-11-02 11:31:20] INFO - Executing cmd: /tmp/venv_cache/venv-da1df057/bin/python /tmp/venv-callsouh24fg/script.py /tmp/venv-callsouh24fg/script.in /tmp/venv-callsouh24fg/script.out /tmp/venv-callsouh24fg/string_args.txt /tmp/venv-callsouh24fg/termination.log /tmp/venv-callsouh24fg/airflow_context.json source=airflow.utils.process_utils loc=process_utils.py:188
[2025-11-02 11:31:20] INFO - Output: source=airflow.utils.process_utils loc=process_utils.py:192
[2025-11-02 11:32:18] ERROR - Process timed out pid=91 source=task loc=timeout.py:37
[2025-11-02 11:36:22] ERROR - Task failed with exception source=task loc=task_runner.py:972
AirflowTaskTimeout: Timeout, PID: 91
File "/home/airflow/.local/lib/python3.12/site-packages/airflow/sdk/execution_time/task_runner.py", line 920 in run

File "/home/airflow/.local/lib/python3.12/site-packages/airflow/sdk/execution_time/task_runner.py", line 1302 in _execute_task

File "/home/airflow/.local/lib/python3.12/site-packages/airflow/sdk/bases/operator.py", line 416 in wrapper

File "/home/airflow/.local/lib/python3.12/site-packages/airflow/sdk/bases/decorator.py", line 252 in execute

File "/home/airflow/.local/lib/python3.12/site-packages/airflow/sdk/bases/operator.py", line 416 in wrapper

File "/home/airflow/.local/lib/python3.12/site-packages/airflow/providers/standard/operators/python.py", line 491 in execute

File "/home/airflow/.local/lib/python3.12/site-packages/airflow/sdk/bases/operator.py", line 416 in wrapper

File "/home/airflow/.local/lib/python3.12/site-packages/airflow/providers/standard/operators/python.py", line 216 in execute

File "/home/airflow/.local/lib/python3.12/site-packages/airflow/providers/standard/operators/python.py", line 888 in execute_callable

File "/home/airflow/.local/lib/python3.12/site-packages/airflow/providers/standard/operators/python.py", line 578 in _execute_python_callable_in_subprocess

File "/home/airflow/.local/lib/python3.12/site-packages/airflow/utils/process_utils.py", line 177 in execute_in_subprocess

File "/home/airflow/.local/lib/python3.12/site-packages/airflow/utils/process_utils.py", line 195 in execute_in_subprocess_with_kwargs

File "/home/airflow/.local/lib/python3.12/site-packages/airflow/sdk/execution_time/timeout.py", line 38 in handle_timeout
```

### Are you willing to submit PR?

- [x] Yes I am willing to submit a PR!

### Code of Conduct

- [x] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

Start with airflow/providers/standard/operators/python.py, especially _execute_python_callable_in_subprocess, and follow its call into airflow/utils/process_utils.py. Read airflow/sdk/execution_time/timeout.py alongside the task_runner.py traceback, then locate the existing operator and timeout tests. Done means a virtualenv task blocked in the reproduced HTTP call is automatically terminated and reaches failed state at its execution_timeout.

Written by the indexing model from the issue text.