Based on prior knowledge, my analysis of the relationship between the feature "fibr_ter_03" and the task of determining whether the myocardial infarction complications data of this patient shows chronic heart failure is as follows:

There is no direct relationship between fibr_ter_03 and chronic heart failure. Fibrinolytic therapy with Celiasum 3m IU is not necessarily indicative of chronic heart failure. This feature represents whether the patient received fibrinolytic therapy or not, but it does not provide any information about the presence or absence of chronic heart failure.

Considering this analysis, the dictionary for the relation between the feature "fibr_ter_03" and the task can be created as follows:

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

Since the values for the feature "fibr_ter_03" are categorical with options ["no", "yes"], both the "no" and "yes" target classes have a list of length 1, containing the respective feature value that is present in the dataset for that target class.