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:
Tanto el jefe de Estado, Gustavo Noboa, como los dos bloques de legisladores enfrentados han asegurado que aceptarán la resolución del TC.
Postion	Tokenization
1	Tanto
2	el
3	jefe
4	de
5	Estado
6	,
7	Gustavo
8	Noboa
9	,
10	como
11	los
12	dos
13	bloques
14	de
15	legisladores
16	enfrentados
17	han
18	asegurado
19	que
20	aceptarán
21	la
22	resolución
23	del
24	TC
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Tanto	ADV	3	cc
2	el	DET	3	det
3	jefe	NOUN	18	nsubj
4	de	ADP	5	case
5	Estado	PROPN	3	nmod
6	,	PUNCT	7	punct
7	Gustavo	PROPN	3	appos
8	Noboa	PROPN	7	flat
9	,	PUNCT	7	punct
10	como	SCONJ	13	cc
11	los	DET	13	det
12	dos	NUM	11	nummod
13	bloques	NOUN	3	conj
14	de	ADP	15	case
15	legisladores	NOUN	13	nmod
16	enfrentados	ADJ	13	amod
17	han	AUX	18	aux
18	asegurado	VERB	0	root
19	que	SCONJ	20	mark
20	aceptarán	VERB	18	ccomp
21	la	DET	22	det
22	resolución	NOUN	20	obj
23	del	ADP	24	case
24	TC	PROPN	22	nmod
25	.	PUNCT	18	punct