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:
En la segunda vuelta compiten el ganador de la primera, el actual presidente y candidato de la coalición Perú 2000, Alberto Fujimori, y el segundo candidato más votado, Alejandro Toledo.
Postion	Tokenization
1	En
2	la
3	segunda
4	vuelta
5	compiten
6	el
7	ganador
8	de
9	la
10	primera
11	,
12	el
13	actual
14	presidente
15	y
16	candidato
17	de
18	la
19	coalición
20	Perú
21	2000
22	,
23	Alberto
24	Fujimori
25	,
26	y
27	el
28	segundo
29	candidato
30	más
31	votado
32	,
33	Alejandro
34	Toledo
35	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	4	case
2	la	DET	4	det
3	segunda	ADJ	4	amod
4	vuelta	NOUN	5	obl
5	compiten	VERB	0	root
6	el	DET	7	det
7	ganador	NOUN	5	nsubj
8	de	ADP	10	case
9	la	DET	10	det
10	primera	ADJ	7	amod
11	,	PUNCT	14	punct
12	el	DET	14	det
13	actual	ADJ	14	amod
14	presidente	NOUN	7	appos
15	y	CCONJ	16	cc
16	candidato	NOUN	14	conj
17	de	ADP	19	case
18	la	DET	19	det
19	coalición	NOUN	16	nmod
20	Perú	PROPN	19	appos
21	2000	NUM	20	nummod
22	,	PUNCT	23	punct
23	Alberto	PROPN	14	appos
24	Fujimori	PROPN	23	flat
25	,	PUNCT	23	punct
26	y	CCONJ	29	cc
27	el	DET	29	det
28	segundo	ADJ	29	amod
29	candidato	NOUN	7	conj
30	más	ADV	31	advmod
31	votado	ADJ	29	amod
32	,	PUNCT	33	punct
33	Alejandro	PROPN	29	appos
34	Toledo	PROPN	33	flat
35	.	PUNCT	5	punct