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**Description**
- The `airflow serve_logs` command has been removed from the CLI as of 2.0.0
- When using `CeleryExecutor`, the `airflow celery worker` command runs the `serve_logs` process in the background.
- We should do the same with `airflow scheduler` command when using `LocalExecutor` or `SequentialExecutor`
 
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**Use case / motivation**
- This will allow for viewing task logs in the UI when using `LocalExecutor` or `SequentialExecutor` without elasticsearch configured.

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**Are you willing to submit a PR?**
Yes. Working with @dimberman .

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**Related Issues**
- https://github.com/apache/airflow/issues/14222
- https://github.com/apache/airflow/issues/13331

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airflow/cli/cli_parser.py
help="Checks if job(s) are still alive",
        func=lazy_load_command('airflow.cli.commands.jobs_command.check'),
        args=(ARG_JOB_TYPE_FILTER, ARG_JOB_HOSTNAME_FILTER, ARG_JOB_LIMIT, ARG_ALLOW_MULTIPLE),
        epilog=(
            'examples:\n'
            'To check if the local scheduler is still working properly, run:\n'
            '\n'
            '    $ airflow jobs check --job-type SchedulerJob --hostname "$(hostname)"\n'
            '\n'
            'To check if any scheduler is running when you are using high availability, run:\n'
            '\n'
            '    $ airflow jobs check --job-type SchedulerJob --allow-multiple --limit 100'
        ),
    ),
)
airflow_commands: List[CLICommand] = [
    GroupCommand(
        name='dags',
        help='Manage DAGs',
        subcommands=DAGS_COMMANDS,
    ),
    GroupCommand(
        name="kubernetes", help='Tools to help run the KubernetesExecutor', subcommands=KUBERNETES_COMMANDS
    ),
    GroupCommand(
        name='tasks',
        help='Manage tasks',
        subcommands=TASKS_COMMANDS,
    ),
    GroupCommand(