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:
Las palabras de Ivanov parecían desmentir a Schröder y reafirmar lo que había dicho la víspera su presidente, es decir, que la segunda vuelta electoral debe celebrarse.
Postion	Tokenization
1	Las
2	palabras
3	de
4	Ivanov
5	parecían
6	desmentir
7	a
8	Schröder
9	y
10	reafirmar
11	lo
12	que
13	había
14	dicho
15	la
16	víspera
17	su
18	presidente
19	,
20	es
21	decir
22	,
23	que
24	la
25	segunda
26	vuelta
27	electoral
28	debe
29	celebrarse
30	celebrar
31	se
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	palabras	NOUN	5	nsubj
3	de	ADP	4	case
4	Ivanov	PROPN	2	nmod
5	parecían	VERB	0	root
6	desmentir	VERB	5	xcomp
7	a	ADP	8	case
8	Schröder	PROPN	6	obj
9	y	CCONJ	10	cc
10	reafirmar	VERB	6	conj
11	lo	PRON	14	det
12	que	PRON	14	obj
13	había	AUX	14	aux
14	dicho	VERB	10	ccomp
15	la	DET	16	det
16	víspera	NOUN	14	obl
17	su	DET	18	det
18	presidente	NOUN	14	nsubj
19	,	PUNCT	29	punct
20	es	NOUN	29	cc
21	decir	NOUN	20	fixed
22	,	PUNCT	29	punct
23	que	SCONJ	29	mark
24	la	DET	26	det
25	segunda	ADJ	26	amod
26	vuelta	NOUN	29	nsubj
27	electoral	ADJ	26	amod
28	debe	AUX	29	aux
29	celebrarse	_	None	_
30	celebrar	VERB	14	conj
31	se	PRON	29	expl:pass
32	.	PUNCT	5	punct