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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=(
        "Do not attempt to pickle the DAG object to send over "
        "to the workers, just tell the workers to run their version "
        "of the code"
    ),
    action="store_true",
)
ARG_BF_IGNORE_DEPENDENCIES = Arg(
    ("-i", "--ignore-dependencies"),
    help=(
        "Skip upstream tasks, run only the tasks "
        "matching the regexp. Only works in conjunction "
        "with task_regex"
    ),
    action="store_true",
)
ARG_BF_IGNORE_FIRST_DEPENDS_ON_PAST = Arg(
    ("-I", "--ignore-first-depends-on-past"),
    help=(
        "Ignores depends_on_past dependencies for the first "
        "set of tasks only (subsequent executions in the backfill "
        "DO respect depends_on_past)"
    ),
    action="store_true",
)
ARG_POOL = Arg(("--pool",), "Resource pool to use")
ARG_DELAY_ON_LIMIT = Arg(
    ("--delay-on-limit",),
    help=(
        "Amount of time in seconds to wait when the limit "