Based on the given feature description and task, it seems we need to analyze the relationship between the feature 'inf_im' (Presence of an inferior myocardial infarction) and the presence of chronic heart failure. To do this, we can examine the possible values of 'inf_im' for each target class (yes or no) in order to understand the relationship.

Here is the dictionary detailing the relationship:

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

From the given categories of the 'inf_im' feature, it appears that for the target class 'no' (no chronic heart failure), the possible values of 'inf_im' are "there is no infarct in this location", "QRS is like Qr-complex", "QRS is like QR-complex", and "QRS has no changes". On the other hand, for the target class 'yes' (presence of chronic heart failure), the only listed value of 'inf_im' is "QRS is like QS-complex".

Please note that the provided dictionary includes all possible values of 'inf_im' for each target class based on the given feature description. Values not mentioned in the provided list of categories are not considered for the analysis.