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:
Los diputados rusos decidieron ayer que la primera vuelta de la elección presidencial tendrá lugar el 4 de junio y la segunda vuelta, tres semanas más tarde.
Postion	Tokenization
1	Los
2	diputados
3	rusos
4	decidieron
5	ayer
6	que
7	la
8	primera
9	vuelta
10	de
11	la
12	elección
13	presidencial
14	tendrá
15	lugar
16	el
17	4
18	de
19	junio
20	y
21	la
22	segunda
23	vuelta
24	,
25	tres
26	semanas
27	más
28	tarde
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	diputados	NOUN	4	nsubj
3	rusos	ADJ	2	amod
4	decidieron	VERB	0	root
5	ayer	ADV	4	advmod
6	que	SCONJ	14	mark
7	la	DET	9	det
8	primera	ADJ	9	amod
9	vuelta	NOUN	14	nsubj
10	de	ADP	12	case
11	la	DET	12	det
12	elección	NOUN	9	nmod
13	presidencial	ADJ	12	amod
14	tendrá	VERB	4	ccomp
15	lugar	NOUN	14	compound
16	el	DET	17	det
17	4	NUM	14	obl
18	de	ADP	19	case
19	junio	NOUN	17	compound
20	y	CCONJ	23	cc
21	la	DET	23	det
22	segunda	ADJ	23	amod
23	vuelta	NOUN	14	conj
24	,	PUNCT	28	punct
25	tres	NUM	26	nummod
26	semanas	NOUN	28	obl
27	más	ADV	28	advmod
28	tarde	ADV	23	advmod
29	.	PUNCT	4	punct