### 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)

if self.reattach_on_restart:
            pod = self.find_pod(self.namespace or pod_request_obj.metadata.namespace, context=context)
            if pod:
                return pod
        self.log.debug("Starting pod:\n%s", yaml.safe_dump(pod_request_obj.to_dict()))
        self.pod_manager.create_pod(pod=pod_request_obj)
        return pod_request_obj
    def await_pod_start(self, pod: k8s.V1Pod):
        try:
            self.pod_manager.await_pod_start(pod=pod, startup_timeout=self.startup_timeout_seconds)
        except PodLaunchFailedException:
            if self.log_events_on_failure:
                for event in self.pod_manager.read_pod_events(pod).items:
                    self.log.error("Pod Event: %s - %s", event.reason, event.message)
            raise
    def extract_xcom(self, pod: k8s.V1Pod):