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:
But I had my cat spayed through their reduced/free spay and neuter program and the vet they sent us to was first of all a hour and a half away, and 4 days later we had to bring them to our normal vet because the vets at the place in wisconsin did a crappy job and they got infections.
Postion	Tokenization
1	But
2	I
3	had
4	my
5	cat
6	spayed
7	through
8	their
9	reduced
10	/
11	free
12	spay
13	and
14	neuter
15	program
16	and
17	the
18	vet
19	they
20	sent
21	us
22	to
23	was
24	first
25	of
26	all
27	a
28	hour
29	and
30	a
31	half
32	away
33	,
34	and
35	4
36	days
37	later
38	we
39	had
40	to
41	bring
42	them
43	to
44	our
45	normal
46	vet
47	because
48	the
49	vets
50	at
51	the
52	place
53	in
54	wisconsin
55	did
56	a
57	crappy
58	job
59	and
60	they
61	got
62	infections
63	.
Position	Tokenization	UPOS	Head	Deprel
1	But	CCONJ	32	cc
2	I	PRON	3	nsubj
3	had	VERB	0	root
4	my	PRON	5	nmod:poss
5	cat	NOUN	6	nsubj
6	spayed	VERB	3	ccomp
7	through	ADP	15	case
8	their	PRON	15	nmod:poss
9	reduced	VERB	15	amod
10	/	SYM	11	cc
11	free	ADJ	9	conj
12	spay	NOUN	15	compound
13	and	CCONJ	14	cc
14	neuter	NOUN	12	conj
15	program	NOUN	6	obl
16	and	CCONJ	32	cc
17	the	DET	18	det
18	vet	NOUN	32	nsubj
19	they	PRON	20	nsubj
20	sent	VERB	18	acl:relcl
21	us	PRON	20	obj
22	to	ADP	20	obl
23	was	AUX	32	cop
24	first	ADV	32	advmod
25	of	ADP	26	case
26	all	DET	24	obl
27	a	DET	28	det
28	hour	NOUN	32	obl:npmod
29	and	CCONJ	31	cc
30	a	DET	31	det
31	half	NOUN	28	conj
32	away	ADV	3	conj
33	,	PUNCT	39	punct
34	and	CCONJ	39	cc
35	4	NUM	36	nummod
36	days	NOUN	37	obl:npmod
37	later	ADV	39	advmod
38	we	PRON	39	nsubj
39	had	VERB	32	conj
40	to	PART	41	mark
41	bring	VERB	39	xcomp
42	them	PRON	41	obj
43	to	ADP	46	case
44	our	PRON	46	nmod:poss
45	normal	ADJ	46	amod
46	vet	NOUN	41	obl
47	because	SCONJ	55	mark
48	the	DET	49	det
49	vets	NOUN	55	nsubj
50	at	ADP	52	case
51	the	DET	52	det
52	place	NOUN	49	nmod
53	in	ADP	54	case
54	wisconsin	PROPN	52	nmod
55	did	VERB	41	advcl
56	a	DET	58	det
57	crappy	ADJ	58	amod
58	job	NOUN	55	obj
59	and	CCONJ	61	cc
60	they	PRON	61	nsubj
61	got	VERB	55	conj
62	infections	NOUN	61	obj
63	.	PUNCT	3	punct