As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
    - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
    - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	big	ADJ	3	amod
3	dog	NOUN	4	nsubj
4	chased	VERB	0	ROOT
5	the	DET	6	det
6	cat	NOUN	4	obj
7	.	PUNCT	4	punct
Generate UD annotations for the following tokenized text:
I do think some Y!A users need to work on their reading comprehension as I can't comprehend how taking a horse in as a rescue and getting it qualified medical treatment is abuse.
Postion	Tokenization
1	I
2	do
3	think
4	some
5	Y!A
6	users
7	need
8	to
9	work
10	on
11	their
12	reading
13	comprehension
14	as
15	I
16	can't
17	ca
18	n't
19	comprehend
20	how
21	taking
22	a
23	horse
24	in
25	as
26	a
27	rescue
28	and
29	getting
30	it
31	qualified
32	medical
33	treatment
34	is
35	abuse
36	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	do	AUX	3	aux
3	think	VERB	0	root
4	some	DET	6	det
5	Y!A	PROPN	6	compound
6	users	NOUN	7	nsubj
7	need	VERB	3	ccomp
8	to	PART	9	mark
9	work	VERB	7	xcomp
10	on	ADP	13	case
11	their	PRON	13	nmod:poss
12	reading	NOUN	13	compound
13	comprehension	NOUN	9	obl
14	as	SCONJ	18	mark
15	I	PRON	18	nsubj
16	can't	_	None	_
17	ca	AUX	18	aux
18	n't	PART	18	advmod
19	comprehend	VERB	9	advcl
20	how	SCONJ	34	mark
21	taking	VERB	34	csubj
22	a	DET	22	det
23	horse	NOUN	20	obj
24	in	ADP	20	compound:prt
25	as	ADP	26	case
26	a	DET	26	det
27	rescue	NOUN	20	obl
28	and	CCONJ	28	cc
29	getting	VERB	20	conj
30	it	PRON	28	iobj
31	qualified	ADJ	32	amod
32	medical	ADJ	32	amod
33	treatment	NOUN	28	obj
34	is	AUX	34	cop
35	abuse	NOUN	18	ccomp
36	.	PUNCT	3	punct