Based on the description provided, the feature "inf_im" represents the presence of an inferior myocardial infarction (left ventricular, ECG changes in leads III, AVF, II). It is a categorical variable with the following categories: 

- 'there is no infarct in this location'
- 'QRS is like Qr-complex'
- 'QRS is like QR-complex'
- 'QRS has no changes'
- 'QRS is like QS-complex'

To analyze the relationship between the feature "inf_im" and the presence of chronic heart failure, we need to consider the myocardial infarction complications data of the patient. 

Since the task is to determine if the patient shows chronic heart failure, we should focus on the "inf_im" values that are associated with chronic heart failure. This can be done by analyzing the data and identifying the "inf_im" categories that appear more frequently for patients with chronic heart failure.

Unfortunately, the provided information does not include any data or statistics that indicate which "inf_im" values are associated with chronic heart failure. Without this information, it is not possible to determine the relationship between the feature and the target.

However, based on the given categories, we can create a dictionary outlining all the possible values for both target classes:

```json
{
    "no": [
        "there is no infarct in this location",
        "QRS is like Qr-complex",
        "QRS is like QR-complex",
        "QRS has no changes",
        "QRS is like QS-complex"
    ],
    "yes": [
        "there is no infarct in this location",
        "QRS is like Qr-complex",
        "QRS is like QR-complex",
        "QRS has no changes",
        "QRS is like QS-complex"
    ]
}
```

Please note that without further information about the relationship between the feature "inf_im" and chronic heart failure, this dictionary only represents all the possible values for the feature "inf_im" and does not provide any specific details about its relationship with the target class.