Based on prior knowledge, we can analyze the relationship between the feature "fibr_ter_08" (Fibrinolytic therapy by Streptodecase 1.5m IU) and the presence of chronic heart failure in the patient.

To determine if the patient shows chronic heart failure, we need to analyze the values of "fibr_ter_08" for the target classes "no" (indicating no chronic heart failure) and "yes" (indicating chronic heart failure).

Here is the analysis of the relationship between the feature and target variable:

- For patients with chronic heart failure ("yes" target class), it is possible that they have received fibrinolytic therapy (fibr_ter_08 = "yes") or not (fibr_ter_08 = "no").

- For patients without chronic heart failure ("no" target class), it is also possible that they have received fibrinolytic therapy (fibr_ter_08 = "yes") or not (fibr_ter_08 = "no").

Based on the analysis, the values of "fibr_ter_08" for both target classes can be any combination of "yes" and "no".

Therefore, the dictionary representing the relationship between the feature and target variable is:

```json
{
	"no": ["yes", "no"],
	"yes": ["yes", "no"]
}
```
Note that all possible feature values ("yes" and "no") are included in both target classes' lists, as the values can be any combination of these categories.