Add support for `ios-arm64-simulator` to `TensorFlowLiteSelectTfOps` pod
Hi @yishuangP, can you please take a look? Thanks. Checking in if there is any update on this?  Yes I would also really like that!
### Issue type

Feature Request

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

Yes

### Source

binary

### TensorFlow version

2.13

### Custom code

No

### OS platform and distribution

macOS 13.5.1

### Mobile device

iOS 16.4

### Python version

_No response_

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

The current pod for `TensorFlowLiteC` includes binaries built for the iOS simulator. However, the pod for `TensorFlowLiteSelectTfOps` does not include any simulator binaries.

Please consider building `TensorFlowLiteSelectTfOps` for the sim architecture as well.

This would allow us to run some of our unit tests on the simulator. In the current behavior, our app does not build for the sim since the included framework does not include any sim compatible binaries. 

### Standalone code to reproduce the issue

```shell
1. Unpack the `TensorFlowLiteSelectTfOps` framework for release 2.13
2. Observe that there is no included binary for the sim architecture
```


### Relevant log output

_No response_