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:
"Quien gane, lo importante es que el futuro presidente sea considerado legítimo por su nación y por la comunidad internacional", aseguró el alto funcionario ruso.
Postion	Tokenization
1	"
2	Quien
3	gane
4	,
5	lo
6	importante
7	es
8	que
9	el
10	futuro
11	presidente
12	sea
13	considerado
14	legítimo
15	por
16	su
17	nación
18	y
19	por
20	la
21	comunidad
22	internacional
23	"
24	,
25	aseguró
26	el
27	alto
28	funcionario
29	ruso
30	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	13	punct
2	Quien	PRON	3	nsubj
3	gane	VERB	13	advcl
4	,	PUNCT	3	punct
5	lo	PRON	6	det
6	importante	ADJ	13	nsubj
7	es	AUX	13	cop
8	que	SCONJ	13	mark
9	el	DET	11	det
10	futuro	ADJ	11	amod
11	presidente	NOUN	13	nsubj
12	sea	AUX	13	aux
13	considerado	VERB	25	ccomp
14	legítimo	ADJ	13	obj
15	por	ADP	17	case
16	su	DET	17	det
17	nación	NOUN	13	obj
18	y	CCONJ	21	cc
19	por	ADP	21	case
20	la	DET	21	det
21	comunidad	NOUN	17	conj
22	internacional	ADJ	21	amod
23	"	PUNCT	13	punct
24	,	PUNCT	13	punct
25	aseguró	VERB	0	root
26	el	DET	28	det
27	alto	ADJ	28	amod
28	funcionario	NOUN	25	nsubj
29	ruso	ADJ	28	amod
30	.	PUNCT	25	punct