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:
Tampoco vigilaron la segunda vuelta de las elecciones los observadores internacionales, que se retiraron del país después que el jurado electoral rechazó su recomendación para aplazar los comicios y corregir las irregularidades en el proceso, ya que pedían más tiempo para evaluar el programa de cómputo de votos utilizado el domingo.
Postion	Tokenization
1	Tampoco
2	vigilaron
3	la
4	segunda
5	vuelta
6	de
7	las
8	elecciones
9	los
10	observadores
11	internacionales
12	,
13	que
14	se
15	retiraron
16	del
17	país
18	después
19	que
20	el
21	jurado
22	electoral
23	rechazó
24	su
25	recomendación
26	para
27	aplazar
28	los
29	comicios
30	y
31	corregir
32	las
33	irregularidades
34	en
35	el
36	proceso
37	,
38	ya
39	que
40	pedían
41	más
42	tiempo
43	para
44	evaluar
45	el
46	programa
47	de
48	cómputo
49	de
50	votos
51	utilizado
52	el
53	domingo
54	.
Position	Tokenization	UPOS	Head	Deprel
1	Tampoco	ADV	2	advmod
2	vigilaron	VERB	0	root
3	la	DET	5	det
4	segunda	ADJ	5	amod
5	vuelta	NOUN	2	obj
6	de	ADP	8	case
7	las	DET	8	det
8	elecciones	NOUN	5	nmod
9	los	DET	10	det
10	observadores	NOUN	2	nsubj
11	internacionales	ADJ	10	amod
12	,	PUNCT	15	punct
13	que	PRON	15	nsubj
14	se	PRON	15	expl:pv
15	retiraron	VERB	10	acl
16	del	ADP	17	case
17	país	NOUN	15	obl
18	después	ADV	23	mark
19	que	SCONJ	18	fixed
20	el	DET	21	det
21	jurado	NOUN	23	nsubj
22	electoral	ADJ	21	amod
23	rechazó	VERB	15	advcl
24	su	DET	25	det
25	recomendación	NOUN	23	obj
26	para	ADP	27	mark
27	aplazar	VERB	25	acl
28	los	DET	29	det
29	comicios	NOUN	27	obj
30	y	CCONJ	31	cc
31	corregir	VERB	27	conj
32	las	DET	33	det
33	irregularidades	NOUN	31	obj
34	en	ADP	36	case
35	el	DET	36	det
36	proceso	NOUN	33	nmod
37	,	PUNCT	40	punct
38	ya	ADV	40	mark
39	que	SCONJ	38	fixed
40	pedían	VERB	23	advcl
41	más	ADV	42	advmod
42	tiempo	NOUN	40	obj
43	para	ADP	44	mark
44	evaluar	VERB	42	acl
45	el	DET	46	det
46	programa	NOUN	44	obj
47	de	ADP	48	case
48	cómputo	NOUN	46	nmod
49	de	ADP	50	case
50	votos	NOUN	48	nmod
51	utilizado	ADJ	46	amod
52	el	DET	53	det
53	domingo	NOUN	51	obl
54	.	PUNCT	2	punct