In this task, we ask you to parse restaurant descriptions into a structured data table of key-value pairs. Here are the attributes (keys) and their examples values. You should preserve this order when creating the answer: 
 name: The Eagle,... 
 eatType: restaurant, coffee shop,... 
 food: French, Italian,... 
 priceRange: cheap, expensive,... 
 customerRating: 1 of 5 (low), 4 of 5 (high) 
 area: riverside, city center, ... 
 familyFriendly: Yes / No 
 near: Panda Express,...
 The output table may contain all or only some of the attributes but must not contain unlisted attributes. For the output to be considered correct, it also must parse all of the attributes existant in the input sentence; in other words, incomplete parsing would be considered incorrect.

Example Input: The Rice Boat is a place that sells Indian food for under £20 that has a low customer rating and is located on the riverside near Express by Holiday Inn.
Example Output: name[The Rice Boat], food[Indian], priceRange[less than £20], customer rating[low], area[riverside], familyFriendly[no], near[Express by Holiday Inn]

Example Input: Near Café Adriatic in the riverside area is home to Travellers Rest Beefeater. They boost a high price range and a customer rating of 3 out of 5.
Example Output: name[Travellers Rest Beefeater], priceRange[high], customer rating[3 out of 5], area[riverside], near[Café Adriatic]

Example Input: The Golden Curry is rated 5 of 5 stars. It is great for the family.
Example Output:
name[The Golden Curry], food[Italian], customer rating[5 out of 5], familyFriendly[yes]

