Upgrade protobuf
Hi @mering,

I can see at master branch setup.py required protobuf versions are:
https://github.com/tensorflow/tensorflow/blob/9c5b7edd94a3c156b741777f35e77614c434c37a/tensorflow/tools/pip_package/setup.py#L101

Not sure of constraints of why this is not updated at workspace2.bzl . IMO we can update it to something like 4.25.1.

CC: @vam-google , @learning-to-play  Protobuf 3.21.9 is almost two years old and predates bzlmod support: https://github.com/protocolbuffers/protobuf/releases/tag/v21.9 (Oct 2022).

There have been breaking API changes as well in the protobuf C++ API which is causing a divergence between internal and external versions of other projects that are stuck on the old protobuf due to Tensorflow.
### Issue type

Build/Install

### Have you reproduced the bug with TensorFlow Nightly?

Yes

### Source

source

### TensorFlow version

Latest

### Custom code

No

### OS platform and distribution

Linux

### Mobile device

_No response_

### Python version

_No response_

### Bazel version

6

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

Currently, [Protobuf 21 is used](https://github.com/tensorflow/tensorflow/blob/4178a583080190e931856545b28a7b708040208c/tensorflow/workspace2.bzl#L385). Please upgrade to a more recent version. As the whole Bazel workspace needs to use the same version of Protobuf, all projects using tensorflow as dependency are blocked upgrading the Protobuf version.

### Standalone code to reproduce the issue

Change https://github.com/tensorflow/tensorflow/blob/4178a583080190e931856545b28a7b708040208c/tensorflow/workspace2.bzl#L385 to a newer version.


### Relevant log output

_No response_