### 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)

"args": ["echo 10"],
            "env": [{"name": "key1", "value": "value1"}, {"name": "key2", "value": "value2"}],
            "volumeMounts": [{"mountPath": "/etc/foo", "name": "test-volume", "readOnly": True}],
        }
        k = KubernetesPodOperator(
            namespace="default",
            image="ubuntu:16.04",
            cmds=["bash", "-cx"],
            arguments=["echo 10"],
            labels=self.labels,
            task_id=str(uuid4()),
            volumes=[volume],
            init_containers=[init_container],
            in_cluster=False,
            do_xcom_push=False,
        )
        context = create_context(k)
        k.execute(context)
        actual_pod = self.api_client.sanitize_for_serialization(k.pod)
        self.expected_pod["spec"]["initContainers"] = [expected_init_container]
        self.expected_pod["spec"]["volumes"] = [
            {"name": "test-volume", "persistentVolumeClaim": {"claimName": "test-volume"}}
        ]
        assert self.expected_pod == actual_pod
    @mock.patch(f"{POD_MANAGER_CLASS}.await_xcom_sidecar_container_start")
    @mock.patch(f"{POD_MANAGER_CLASS}.extract_xcom")
    @mock.patch(f"{POD_MANAGER_CLASS}.await_pod_completion")
    @mock.patch(f"{POD_MANAGER_CLASS}.create_pod", new=MagicMock)
    @mock.patch(HOOK_CLASS)
    def test_pod_template_file(