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 Cricketers is a coffee shop that offers Fast food to its customers. It is located near The Portland Arms, has a rating of 1 out 5 stars, and is child-friendly.
Example Output: name[The Cricketers], eatType[coffee shop], food[Fast food], customer rating[1 out of 5], familyFriendly[yes], near[The Portland Arms]

Example Input: Midsummer House serves a French food, and this French restaurant is locate  near Café Rouge. Midsummer House, but it has average rating.
Example Output: name[Midsummer House], food[French], customer rating[average], near[Café Rouge]

Example Input: The Plough is a kid friendly pub located near the Café Rouge. Its price range is £20-25.
Example Output:
name[The Plough], eatType[pub], food[Fast food], priceRange[£20-25], familyFriendly[yes], near[Café Rouge]