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:
Pero eludió comentar versiones oficiosas rusas que vincularon su visita con negociaciones sobre la deuda de Cuba con la antigua Unión Soviética, estimada en 22.000 millones de dólares.
Postion	Tokenization
1	Pero
2	eludió
3	comentar
4	versiones
5	oficiosas
6	rusas
7	que
8	vincularon
9	su
10	visita
11	con
12	negociaciones
13	sobre
14	la
15	deuda
16	de
17	Cuba
18	con
19	la
20	antigua
21	Unión
22	Soviética
23	,
24	estimada
25	en
26	22.000
27	millones
28	de
29	dólares
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Pero	CCONJ	2	advmod
2	eludió	VERB	0	root
3	comentar	VERB	2	xcomp
4	versiones	NOUN	3	obj
5	oficiosas	ADJ	4	amod
6	rusas	ADJ	4	amod
7	que	PRON	8	nsubj
8	vincularon	VERB	4	acl
9	su	DET	10	det
10	visita	NOUN	8	obj
11	con	ADP	12	case
12	negociaciones	NOUN	8	obj
13	sobre	ADP	15	case
14	la	DET	15	det
15	deuda	NOUN	12	nmod
16	de	ADP	17	case
17	Cuba	PROPN	15	nmod
18	con	ADP	21	case
19	la	DET	21	det
20	antigua	ADJ	21	amod
21	Unión	PROPN	15	nmod
22	Soviética	PROPN	21	flat
23	,	PUNCT	24	punct
24	estimada	VERB	15	acl
25	en	ADP	27	case
26	22.000	NUM	27	nummod
27	millones	NOUN	24	obl
28	de	ADP	29	case
29	dólares	NOUN	27	nmod
30	.	PUNCT	2	punct