### 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)

"""
        Parse K8s log line and returns the final state.
        :param line: k8s log line
        :return: timestamp and log message
        """
        timestamp, sep, message = line.strip().partition(" ")
        if not sep:
            self.log.error(
                "Error parsing timestamp (no timestamp in message %r). "
                "Will continue execution but won't update timestamp",
                line,
            )
            return None, line
        try:
            last_log_time = cast(DateTime, pendulum.parse(timestamp))
        except ParserError:
            self.log.error("Error parsing timestamp. Will continue execution but won't update timestamp")
            return None, line
        return last_log_time, message
    def container_is_running(self, pod: V1Pod, container_name: str) -> bool:
        """Reads pod and checks if container is running."""
        remote_pod = self.read_pod(pod)
        return container_is_running(pod=remote_pod, container_name=container_name)
    def container_is_terminated(self, pod: V1Pod, container_name: str) -> bool: