### 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)

"""
        Tests that the task fails when a pod reports a failure
        """
        bad_internal_command = ["foobar 10 "]
        k = KubernetesPodOperator(
            namespace="default",
            image="ubuntu:16.04",
            cmds=["bash", "-cx"],
            arguments=bad_internal_command,
            labels=self.labels,
            task_id=str(uuid4()),
            in_cluster=False,
            do_xcom_push=False,
        )
        with pytest.raises(AirflowException):
            context = create_context(k)
            k.execute(context)
            actual_pod = self.api_client.sanitize_for_serialization(k.pod)
            self.expected_pod["spec"]["containers"][0]["args"] = bad_internal_command
            assert self.expected_pod == actual_pod
    def test_xcom_push(self, test_label, mock_get_connection):