[Python] `FixedShapedTensor` `to_pandas_dtype` is returning `NotImplementedError`
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Description
### Describe the bug, including details regarding any error messages, version, and platform.
Repro Script:
```
import pyarrow as pa
print(f"pyarrow {pa.__version__}")
t = pa.fixed_shape_tensor(pa.float32(), [2, 2])
print(f"type: {t!r}")
print("calling t.to_pandas_dtype() ...")
dtype = t.to_pandas_dtype()
print(f"result: {dtype!r}")
```
Output:
```
pyarrow 23.0.0
type: FixedShapeTensorType(extension)
calling t.to_pandas_dtype() ...
---------------------------------------------------------------------------
NotImplementedError Traceback (most recent call last)
Cell In[2], line 9
6 print(f"type: {t!r}")
8 print("calling t.to_pandas_dtype() ...")
----> 9 dtype = t.to_pandas_dtype()
10 print(f"result: {dtype!r}")
NotImplementedError: extension
```
Seems to contradict what's available in the docs: https://arrow.apache.org/docs/python/generated/pyarrow.FixedShapeTensorType.html#pyarrow.FixedShapeTensorType
For context, this method needs to be implemented in order to use `table.to_pandas(split_blocks=True)` for per-column extension blocks to reduce memory pressure.
### Component(s)
Python
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