Fixes filtering on nested struct fields when using PyArrow for scan operations.

## Problem

When filtering on nested struct fields (e.g., `mazeMetadata.run_id == 'value'`),
PyArrow would fail with:
```
ArrowInvalid: No match for FieldRef.Name(run_id) in ...
```

The issue occurred because PyArrow requires nested field references as tuples
(e.g., `("parent", "child")`) rather than dotted strings (e.g., `"parent.child"`).

## Solution

1. Modified `_ConvertToArrowExpression` to accept an optional `Schema` parameter
2. Added `_get_field_name()` method that converts dotted field paths to tuples
   for nested struct fields
3. Updated `expression_to_pyarrow()` to accept and pass the schema parameter
4. Updated all call sites to pass the schema when available

## Changes

- `pyiceberg/io/pyarrow.py`:
  - Modified `_ConvertToArrowExpression` class to handle nested field paths
  - Updated `expression_to_pyarrow()` signature to accept schema
  - Updated `_expression_to_complementary_pyarrow()` signature
- `pyiceberg/table/__init__.py`:
  - Updated call to `_expression_to_complementary_pyarrow()` to pass schema
- Tests:
  - Added `test_ref_binding_nested_struct_field()` for comprehensive nested field testing
  - Enhanced `test_nested_fields()` with issue apache#953 scenarios

## Example

```python
# Now works correctly:
table.scan(row_filter="mazeMetadata.run_id == 'abc123'").to_polars()
```

The fix converts the field reference from:
- ❌ `FieldRef.Name(run_id)` (fails - field not found)
- ✅ `FieldRef.Nested(FieldRef.Name(mazeMetadata) FieldRef.Name(run_id))` (works!)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>