### 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)

"""Launches the pod asynchronously."""
        return self.run_pod_async(pod)
    def await_pod_start(self, pod: V1Pod, startup_timeout: int = 120) -> None:
        """
        Waits for the pod to reach phase other than ``Pending``.
        :param pod:
        :param startup_timeout: Timeout (in seconds) for startup of the pod
            (if pod is pending for too long, fails task)
        :return:
        """
        curr_time = time.time()
        while True:
            remote_pod = self.read_pod(pod)
            if remote_pod.status.phase != PodPhase.PENDING:
                break
            self.log.warning("Pod not yet started: %s", pod.metadata.name)
            if time.time() - curr_time >= startup_timeout:
                msg = (
                    f"Pod took longer than {startup_timeout} seconds to start. "
                    "Check the pod events in kubernetes to determine why."
                )
                raise PodLaunchFailedException(msg)
            time.sleep(1)
    def follow_container_logs(self, pod: V1Pod, container_name: str) -> PodLoggingStatus: