Allow Arrow Capsule Interface

### Apache Iceberg version

0.10.0 (latest release)

### Please describe the bug 🐞

Due to how `iceberg-python` does checks in certain places, I can't use libraries such as [`arro3`](https://github.com/kylebarron/arro3) or `polars` without having to do a conversion and include `pyarrow` as a dependency. Here is such a case in `table/__init__.py`:

```python
def append(self, df: pa.Table, snapshot_properties: Dict[str, str] = EMPTY_DICT, branch: Optional[str] = MAIN_BRANCH) -> None:
"""
Shorthand API for appending a PyArrow table to a table transaction.

Args:
df: The Arrow dataframe that will be appended to overwrite the table
snapshot_properties: Custom properties to be added to the snapshot summary
branch: Branch Reference to run the append operation
"""
try:
import pyarrow as pa
except ModuleNotFoundError as e:
raise ModuleNotFoundError("For writes PyArrow needs to be installed") from e

from pyiceberg.io.pyarrow import _check_pyarrow_schema_compatible, _dataframe_to_data_files

if not isinstance(df, pa.Table):
raise ValueError(f"Expected PyArrow table, got: {df}")
```

Can this be updated to use the capsule interface: https://arrow.apache.org/docs/format/CDataInterface/PyCapsuleInterface.html ?

I can create a patch if this is something that will be accepted. Sorry for the new account, due to employer issues I can't use my "regular" one.

### Willingness to contribute

- [x] I can contribute a fix for this bug independently
- [x] I would be willing to contribute a fix for this bug with guidance from the Iceberg community
- [ ] I cannot contribute a fix for this bug at this time

首先阅读 table/__init__.py 中的 append 实现，以及其中引用的 pyiceberg.io.pyarrow 兼容性和数据文件辅助函数，然后将它们的输入检查与 Arrow PyCapsule Interface 进行比较。完成的标准是，支持 arro3 或 polars 等 Arrow 生产者可以在无需转换或强制依赖 pyarrow 的情况下使用。

由索引模型根据 Issue 内容生成。