[Python] Segfault in `to_pandas()` on batch from IPC stream in specific edge cases

### Describe the bug, including details regarding any error messages, version, and platform.

So far I've only been able to reproduce this case with `pyspark` but I think the bug is probably on the arrow side. The problem was introduced with https://github.com/apache/arrow/pull/15210 and reverting this change still fixes the problem on the 16.0.0 release.

### Reproduce
The smallest reproducer I've found is the following.
[reproduce_pyspark.py.txt](https://github.com/apache/arrow/files/15164159/reproduce_pyspark.py.txt) (it has a `.txt` extensions because github doesn't let me upload `.py`)
Versions:
```
pandas==2.2.2
pyspark==3.5.1
pyarrow==16.0.0

python 3.10.14
```

Error is:
```
py4j.protocol.Py4JJavaError: An error occurred while calling o63.collectToPython.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 2.0 failed 1 times, most recent failure: Lost task 0.0 in stage 2.0 (TID 32) (192.168.1.222 executor driver): org.apache.spark.SparkException: Python worker exited unexpectedly (crashed): Fatal Python error: Segmentation fault

Current thread 0x00007f3d6621a740 (most recent call first):
File "/home/tomnewton/segault-venv/lib/python3.10/site-packages/pyspark/python/lib/pyspark.zip/pyspark/sql/pandas/serializers.py", line 188 in arrow_to_pandas
```
[full_stdout.txt](https://github.com/apache/arrow/files/15164379/full_stdout.txt)

### A few things I've noticed:
1. Reproducible with various combinations of nullable nested arrays that may contain null, where the data is null at some level before the final layer of nesting.
2. Adding a second row which is not-null avoids the problem.
3. I was unable to reproduce the problem just by creating a chunked array that looks the same and calling `to_pandas` on it.
4. I was unable to reproduce with an IPC stream fully in python created from a pyarrow table.
5. I was unable to reproduce with highly nested struct or map types.

### Component(s)

C++, Python, Java