# data[].attributes.body
She is depressed and stale.

She is full of sorrow and is worn out.

She is heartbroken and is wasted

# data[].attributes.body
She is upset because she did not get a bike.

# data[].attributes.body
She is forlorn and narcoleptic.

# data[].attributes.body
She is feeling melancholy and fatigued.

# data[].attributes.body
She is blue and exasperated

# data[].attributes.body
She is feeling sorrow and weary.

She was feeling depressed and worn out.

She was feeling blue and sleepy.

# data[].attributes.body
She is unhappy and exhausted.

She is sad and over worked.

# data[].attributes.body
She is depressed and worn out.
She is bitter and droopy
She is miserable and overworked.

# data[].attributes.body
She feels pensive

She is beravied

She is lugubrious

# data[].attributes.body
She is sad and tired
She is bitter and beat
She is hurting and done for
She is down and fed up
She is heartbroken and faint
She is cheerless and stale
She is doleful and played out

# data[].attributes.body
She is miserable and absurd

# data[].attributes.body
She is heart broken and exhausted

# data[].attributes.body
She was depressed and exhausted.

She is joyless and fatigued.

# data[].attributes.body
She is sick at heart and fatigued.
The young woman was weary and cheerless.

# data[].attributes.body
She is lonely and exhausted.

# data[].attributes.body
She was shallow and weary.

She was depressed and exhausted.

# data[].attributes.body
She is dismal and irked.
She is languishing and narcoleptic.
She is morose and haggard.
She is lugubrious and jaded.

# data[].attributes.body
She is unhappy and worn.

# data[].attributes.body
She is pessimistic and worn out.
She is sorrowful and overworked.
She feels heartbroken and exasperated.

# data[].attributes.body
She is sorrowful and fatigued.

# data[].attributes.body
She is low-spirit and overworked.
She is heartsick and empty.

# data[].attributes.body
She is sad and tired.            She is blue and drained.
She is low and worn.
She is bitter and beat.
She is heartbroken and  faint.
She is cheerless and stale.

# data[].attributes.body
She is sad and tired.
She is bitter and bored.
She is wistful and worn.
She is heartbroken and stale.
She is blue and overworked.
She is dull and drained.

# data[].attributes.body
She is heartbroken and exasperate.
She is disconsolate and fagged.
She is down in the dumps and dead on one's feet.
She is sick at heart and fagged.
She is out of sorts and done for.
She is in grief and burned out.
She is heavyhearted and narcoleptic.
She is