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 dimisiones en el Senado elevan a once el número de opositores a Estrada, y en el Congreso suman ya 95 los diputados que estarían dispuestos a presentar una moción de censura.
Postion	Tokenization
1	Las
2	dimisiones
3	en
4	el
5	Senado
6	elevan
7	a
8	once
9	el
10	número
11	de
12	opositores
13	a
14	Estrada
15	,
16	y
17	en
18	el
19	Congreso
20	suman
21	ya
22	95
23	los
24	diputados
25	que
26	estarían
27	dispuestos
28	a
29	presentar
30	una
31	moción
32	de
33	censura
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	dimisiones	NOUN	6	nsubj
3	en	ADP	5	case
4	el	DET	5	det
5	Senado	PROPN	2	nmod
6	elevan	VERB	0	root
7	a	ADP	8	case
8	once	NUM	6	obl
9	el	DET	10	det
10	número	NOUN	6	obj
11	de	ADP	12	case
12	opositores	NOUN	10	nmod
13	a	ADP	14	case
14	Estrada	PROPN	12	nmod
15	,	PUNCT	20	punct
16	y	CCONJ	20	cc
17	en	ADP	19	case
18	el	DET	19	det
19	Congreso	PROPN	20	obl
20	suman	VERB	6	conj
21	ya	ADV	20	advmod
22	95	NUM	20	xcomp
23	los	DET	24	det
24	diputados	NOUN	20	nsubj
25	que	PRON	27	nsubj
26	estarían	AUX	27	cop
27	dispuestos	ADJ	24	acl
28	a	ADP	29	mark
29	presentar	VERB	27	xcomp
30	una	DET	31	det
31	moción	NOUN	29	obj
32	de	ADP	33	case
33	censura	NOUN	31	nmod
34	.	PUNCT	6	punct