[GH-3180] GeoPandas: Implement distributed cx and clip APIs

[jiayuasu]

Did you read the Contributor Guide?

• Yes, I have read the Contributor Rules and Contributor Development Guide

Is this PR related to a ticket?

• Yes, and the PR name follows the format [GH-XXX] my subject. Closes GeoPandas: implement distributed cx and clip APIs #3180

What changes were proposed in this PR?

This PR implements the GeoPandas-compatible cx coordinate indexer and clip APIs for distributed GeoSeries and GeoDataFrame objects.

The implementation uses native Spark and Sedona expressions for spatial filtering, clipping, rectangle fast paths, and distributed mask aggregation. It preserves indexes, active geometry columns, CRS/SRID metadata, input ordering, keep_geom_type behavior, and all-null geometry CRS metadata without collecting geometry rows to the driver.

English and Chinese GeoPandas API documentation are updated for the new APIs.
The development dependency set includes Rtree on Python 3.8 so GeoPandas
0.13 clip parity tests have a spatial-index backend.

How was this patch tested?

• python/tests/geopandas/test_spatial_subsetting.py (16 tests)
• Existing test_set_crs regression test
• Python 3.8 with GeoPandas 0.13.2, Shapely 1.8.5, and Rtree 1.3.0
• Repository pre-commit hooks

The tests cover GeoSeries and GeoDataFrame inputs, coordinate slices, geometry and rectangle masks, distributed masks, collection-triggered multipart explosion, mixed-family filtering without explosion, null-first collection results, null/empty/all-null geometries, CRS/SRID preservation, MultiIndex inputs, ordering, and validation behavior.

Did this PR include necessary documentation updates?

• Yes, I am adding new APIs. I am using the current SNAPSHOT version number v1.9.1.
• Yes, I have updated the documentation.