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:
Como las encuestas habían difundido una gran expectativa de crecimiento para el Partido Quebequés y ha terminado obteniendo dos diputados menos que en las elecciones anteriores, el clima es de fracaso.
Postion	Tokenization
1	Como
2	las
3	encuestas
4	habían
5	difundido
6	una
7	gran
8	expectativa
9	de
10	crecimiento
11	para
12	el
13	Partido
14	Quebequés
15	y
16	ha
17	terminado
18	obteniendo
19	dos
20	diputados
21	menos
22	que
23	en
24	las
25	elecciones
26	anteriores
27	,
28	el
29	clima
30	es
31	de
32	fracaso
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Como	SCONJ	5	mark
2	las	DET	3	det
3	encuestas	NOUN	5	nsubj
4	habían	AUX	5	aux
5	difundido	VERB	32	advcl
6	una	DET	8	det
7	gran	ADJ	8	amod
8	expectativa	NOUN	5	obj
9	de	ADP	10	case
10	crecimiento	NOUN	8	nmod
11	para	ADP	13	case
12	el	DET	13	det
13	Partido	PROPN	8	nmod
14	Quebequés	PROPN	13	flat
15	y	CCONJ	17	cc
16	ha	AUX	17	aux
17	terminado	VERB	5	conj
18	obteniendo	VERB	17	xcomp
19	dos	NUM	20	nummod
20	diputados	NOUN	18	obj
21	menos	ADV	20	advmod
22	que	SCONJ	25	mark
23	en	ADP	25	case
24	las	DET	25	det
25	elecciones	NOUN	20	nmod
26	anteriores	ADJ	25	amod
27	,	PUNCT	5	punct
28	el	DET	29	det
29	clima	NOUN	32	nsubj
30	es	AUX	32	cop
31	de	ADP	32	case
32	fracaso	NOUN	0	root
33	.	PUNCT	32	punct