Based on prior knowledge, the relationship between the feature AST_BLOOD and the task of determining whether the patient shows chronic heart failure can be analyzed as follows:

AST_BLOOD is a measure of Serum AsAT content, which is an enzyme found primarily in the liver and heart. Elevated levels of AST in the bloodstream may indicate liver or heart damage.

Since the task is to determine if there is chronic heart failure, we can analyze the relationship between AST_BLOOD levels and the presence of chronic heart failure.

Typically, elevated AST_BLOOD levels are observed in patients with chronic heart failure as it is an indication of heart damage. Therefore, we expect to see higher values of AST_BLOOD in the "yes" class than in the "no" class.

To create the dictionary, we need to find typical AST_BLOOD values for each target class:

For the "no" class (patients without chronic heart failure), some possible typical AST_BLOOD values could be:

1. AST_BLOOD: 20.5
2. AST_BLOOD: 18.2
3. AST_BLOOD: 22.1
4. AST_BLOOD: 19.8
5. AST_BLOOD: 17.9

For the "yes" class (patients with chronic heart failure), some possible typical AST_BLOOD values could be:

1. AST_BLOOD: 45.6
2. AST_BLOOD: 50.2
3. AST_BLOOD: 48.9
4. AST_BLOOD: 41.7
5. AST_BLOOD: 47.3

Based on this analysis, the dictionary representing the relationship between the feature AST_BLOOD and the target variable can be formatted as a markdown code snippet:

```json
{
	"no": [20.5, 18.2, 22.1, 19.8, 17.9],
	"yes": [45.6, 50.2, 48.9, 41.7, 47.3]
}
```