Based on the given feature "fibr_ter_06" and the task of determining whether the patient shows chronic heart failure, we can analyze the relationship between the feature and the target variable. 

Since the feature "fibr_ter_06" represents the Fibrinolytic therapy by Celiasum 500k IU, it is unlikely to directly indicate the presence of chronic heart failure. However, it is still possible that the administration of this therapy may have some influence on the likelihood of chronic heart failure.

To analyze the relationship between the feature "fibr_ter_06" and chronic heart failure, we need additional data on the occurrences of chronic heart failure for each value of the feature. Without that information, it is not possible to definitively determine how the feature relates to the target.

Nevertheless, we can create a dictionary in the requested format by assuming that there are some possible values of the feature that are associated with chronic heart failure (yes) and others that are not (no). Since we do not have specific knowledge about the values of the feature, we will provide generic examples:

```json
{
	"no": ["no"], 
	"yes": ["yes"]
}
```

Please note that the values "no" and "yes" in the dictionary represent the possible values of the feature "fibr_ter_06", not the target variable. The list for each target class would contain the values of the feature that are associated with that target class. Since we do not have specific information about how the feature is related to chronic heart failure, we cannot provide a more accurate analysis or specific values for the dictionary.