### 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)

self,
        response: HTTPResponse,
        pod: V1Pod,
        pod_manager: PodManager,
        container_name: str,
        post_termination_timeout: int = 120,
        read_pod_cache_timeout: int = 120,
    ):
        self.response = response
        self.pod = pod
        self.pod_manager = pod_manager
        self.container_name = container_name
        self.post_termination_timeout = post_termination_timeout
        self.last_read_pod_at = None
        self.read_pod_cache = None
        self.read_pod_cache_timeout = read_pod_cache_timeout
    def __iter__(self) -> Generator[bytes, None, None]: