### 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)

pod = None
        try:
            pod = self.hook.get_pod(
                event["name"],
                event["namespace"],
            )
            if event["status"] in ("error", "failed", "timeout"):
                
                if self.get_logs:
                    self.write_logs(pod)
                raise AirflowException(event["message"])
            elif event["status"] == "success":
                ti = context["ti"]
                ti.xcom_push(key="pod_name", value=pod.metadata.name)
                ti.xcom_push(key="pod_namespace", value=pod.metadata.namespace)
                
                if self.get_logs:
                    self.write_logs(pod)
                if self.do_xcom_push:
                    xcom_sidecar_output = self.extract_xcom(pod=pod)
                    return xcom_sidecar_output
        finally:
            istio_enabled = self.is_istio_enabled(pod)
            pod = self.pod_manager.await_pod_completion(pod, istio_enabled, self.base_container_name)
            if pod is not None:
                self.post_complete_action(
                    pod=pod,
                    remote_pod=pod,
                )
    def write_logs(self, pod: k8s.V1Pod):