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: Alimentum serves Indian food in the less than £20 price range in the City Centre and is family friendly
Example Output: name[Alimentum], food[Indian], priceRange[less than £20], area[city centre], familyFriendly[yes]

Example Input: The Cambridge Blue is an Italian pub near Café Brazil whose meals are more than 30 pounds.
Example Output: name[The Cambridge Blue], eatType[pub], food[Italian], priceRange[more than £30], near[Café Brazil]

Example Input: Loch Fyne has Indian food with a customer rating of 5 out of 5. It is located in city centre, near The Rice Boat.
Example Output:
name[Loch Fyne], food[Indian], customer rating[5 out of 5], area[city centre], near[The Rice Boat]