### 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)

"""
        Waits for the given container in the given pod to be completed.
        :param pod: pod spec that will be monitored
        :param container_name: name of the container within the pod to monitor
        """
        while True:
            remote_pod = self.read_pod(pod)
            terminated = container_is_completed(remote_pod, container_name)
            if terminated:
                break
            self.log.info("Waiting for container '%s' state to be completed", container_name)
            time.sleep(1)
    def await_pod_completion(