GH-44229: [Docs] Add PyArrow to JAX example to the docs (#44230)

### Rationale for this change

Explicitly mention in the docs a way that PyArrow can interop with [JAX](https://github.com/jax-ml/jax).

### What changes are included in this PR?

 - Tweaks to the phrasing
 - Two JAX examples: one for `jax.numpy` and another for `jax.dlpack`

### Are these changes tested?

N/A
* GitHub Issue: #44229

Authored-by: Felipe Oliveira Carvalho <felipekde@gmail.com>
Signed-off-by: Felipe Oliveira Carvalho <felipekde@gmail.com>

docs/source/python/dlpack.rst

@@ -63,10 +63,10 @@ PyArrow implements the second part of the protocol
 (``__dlpack__(self, stream=None)`` and ``__dlpack_device__``) and can
 thus be consumed by libraries implementing ``from_dlpack``.
 
-Example
--------
+Examples
+--------
 
-Convert a PyArrow CPU array to NumPy array:
+Convert a PyArrow CPU array into a NumPy array:
 
 .. code-block::
 
@@ -84,10 +84,20 @@ Convert a PyArrow CPU array to NumPy array:
     >>> np.from_dlpack(array)
     array([2, 0, 2, 4])
 
-Convert a PyArrow CPU array to PyTorch tensor:
+Convert a PyArrow CPU array into a PyTorch tensor:
 
 .. code-block::
 
     >>> import torch
     >>> torch.from_dlpack(array)
     tensor([2, 0, 2, 4])
+
+Convert a PyArrow CPU array into a JAX array:
+
+.. code-block::
+
+    >>> import jax
+    >>> jax.numpy.from_dlpack(array)
+    Array([2, 0, 2, 4], dtype=int32)
+    >>> jax.dlpack.from_dlpack(array)
+    Array([2, 0, 2, 4], dtype=int32)