### Description

Add a process_line callback to KubernetesPodOperator 
Like https://github.com/apache/airflow/blob/main/airflow/providers/apache/beam/operators/beam.py#LL304C36-L304C57 the `BeamRunPythonPipelineOperator`, which allows the user to add stateful plugins based on the logging from docker job 

### Use case/motivation

I can add a plugin based on the logging and also allow cleanup on_kill based on the job creation log. 

### Related issues

_No response_

### Are you willing to submit a PR?

- [ ] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

"""Deletes POD."""
        try:
            self._client.delete_namespaced_pod(
                pod.metadata.name, pod.metadata.namespace, body=client.V1DeleteOptions()
            )
        except ApiException as e:
            
            if e.status != 404:
                raise
    @tenacity.retry(
        stop=tenacity.stop_after_attempt(3),
        wait=tenacity.wait_random_exponential(),
        reraise=True,
        retry=tenacity.retry_if_exception(should_retry_start_pod),
    )
    def create_pod(self, pod: V1Pod) -> V1Pod: