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: For a lovely Café meal in a family friendly setting try The Dumpling Tree. It is reasonably priced and family friendly. Located near Café Sicilia in the riverside area.
Example Output: name[The Dumpling Tree], eatType[coffee shop], priceRange[£20-25], area[riverside], familyFriendly[yes], near[Café Sicilia]

Example Input: The Golden Palace is a coffee shop that serves high end foods for reasonable prices.
Example Output: name[The Golden Palace], eatType[coffee shop], food[French], priceRange[£20-25], customer rating[high], area[riverside]

Example Input: Midsummer House is a restaurant near Café Rouge serving Chinese food. Customers have rated Midsummer House 3 out of 5.
Example Output:
name[Midsummer House], food[Chinese], customer rating[3 out of 5], near[Café Rouge]