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:
We have to leave him at the vet for 3 days and I was told to call for check ups as often as I wished that no matter how many times I called I would not annoy them.
Postion	Tokenization
1	We
2	have
3	to
4	leave
5	him
6	at
7	the
8	vet
9	for
10	3
11	days
12	and
13	I
14	was
15	told
16	to
17	call
18	for
19	check
20	ups
21	as
22	often
23	as
24	I
25	wished
26	that
27	no
28	matter
29	how
30	many
31	times
32	I
33	called
34	I
35	would
36	not
37	annoy
38	them
39	.
Position	Tokenization	UPOS	Head	Deprel
1	We	PRON	2	nsubj
2	have	VERB	0	root
3	to	PART	4	mark
4	leave	VERB	2	xcomp
5	him	PRON	4	obj
6	at	ADP	8	case
7	the	DET	8	det
8	vet	NOUN	4	obl
9	for	ADP	11	case
10	3	NUM	11	nummod
11	days	NOUN	4	obl
12	and	CCONJ	15	cc
13	I	PRON	15	nsubj:pass
14	was	AUX	15	aux:pass
15	told	VERB	2	conj
16	to	PART	17	mark
17	call	VERB	15	xcomp
18	for	ADP	20	case
19	check	NOUN	20	compound
20	ups	NOUN	17	obl
21	as	ADV	22	advmod
22	often	ADV	17	advmod
23	as	SCONJ	25	mark
24	I	PRON	25	nsubj
25	wished	VERB	21	advcl
26	that	SCONJ	37	mark
27	no	ADV	28	advmod
28	matter	ADV	37	advmod
29	how	SCONJ	30	mark
30	many	ADJ	31	amod
31	times	NOUN	33	obj
32	I	PRON	33	nsubj
33	called	VERB	28	ccomp
34	I	PRON	37	nsubj
35	would	AUX	37	aux
36	not	PART	37	advmod
37	annoy	VERB	17	conj
38	them	PRON	37	obj
39	.	PUNCT	2	punct