### Is there an existing issue for this?

- [X] I have searched the existing issues

### Current Behavior

I'm executing a state machine using the following definition:

```json
{
  "StartAt": "Parallel",
  "States": {
    "Parallel": {
      "Type": "Parallel",
      "Next": "Unreachable",
      "Branches": [
        {
          "StartAt": "Fail",
          "States": {
            "Fail": {
              "Type": "Fail"
            }
          }
        }
      ]
    },
    "Unreachable": {
      "Type": "Pass",
      "Parameters": {
        "UnreachableOutput": true
      },
      "End": true
    }
  }
}
```

The execution is a success with the following output:

```json
{
   "UnreachableOutput": true
}
```

### Expected Behavior

The execution should fail.

On AWS executing a state machine using the provided definition results in an error. The execution should fail before reaching the state named `Unreachable` because an error occurred in one of the branches of the preceding Parallel state.

### How are you starting LocalStack?

With a docker-compose file

### Steps To Reproduce

Create and execute a state machine using the provided definition.

### Environment

```markdown
- LocalStack: 3.0.3.dev20231207105008
```


### Anything else?

_No response_
self,
        aws_client,
        s3_create_bucket,
        create_iam_role_for_sfn,
        create_state_machine,
        sfn_snapshot,
    ):
        bucket_name = s3_create_bucket()
        sfn_snapshot.add_transformer(RegexTransformer(bucket_name, "bucket-name"))
        key = "file.json"
        json_file = json.dumps(
            [
                {"verdict": "true", "statement_date": "6/11/2008", "statement_source": "speech"},
                {
                    "verdict": "false",
                    "statement_date": "6/7/2022",
                    "statement_source": "television",
                },
                {
                    "verdict": "mostly-true",
                    "statement_date": "5/18/2016",
                    "statement_source": "news",
                },
            ]
        )
        aws_client.s3.put_object(Bucket=bucket_name, Key=key, Body=json_file)