### 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)

hook_mock.return_value.get_connection.return_value = Connection(conn_id="kubernetes_default")
        extract_xcom_mock.return_value = "{}"
        path = sys.path[0] + "/tests/providers/cncf/kubernetes/pod.yaml"
        k = KubernetesPodOperator(
            task_id=str(uuid4()),
            labels=self.labels,
            random_name_suffix=False,
            pod_template_file=path,
            do_xcom_push=True,
        )
        pod_mock = MagicMock()
        pod_mock.status.phase = "Succeeded"
        await_pod_completion_mock.return_value = pod_mock
        context = create_context(k)
        
        with caplog.at_level(logging.DEBUG, logger="airflow.task.operators"):
            k.execute(context)
            expected_lines = [
                "Starting pod:",
                "api_version: v1",
                "kind: Pod",
                "metadata:",
                "  annotations: {}",
                "  cluster_name: null",
                "  creation_timestamp: null",
                "  deletion_grace_period_seconds: null",
            ]
            actual = next(x.getMessage() for x in caplog.records if x.msg == "Starting pod:\n%s").splitlines()
            assert actual[: len(expected_lines)] == expected_lines
        actual_pod = self.api_client.sanitize_for_serialization(k.pod)