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 es que, además, la formación de Bouchard está en retroceso y consiguió 25.000 votos menos que el federalista Partido Liberal.
Postion	Tokenization
1	Pero
2	es
3	que
4	,
5	además
6	,
7	la
8	formación
9	de
10	Bouchard
11	está
12	en
13	retroceso
14	y
15	consiguió
16	25.000
17	votos
18	menos
19	que
20	el
21	federalista
22	Partido
23	Liberal
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Pero	CCONJ	2	advmod
2	es	AUX	0	root
3	que	SCONJ	13	mark
4	,	PUNCT	5	punct
5	además	ADV	13	advmod
6	,	PUNCT	5	punct
7	la	DET	8	det
8	formación	NOUN	13	nsubj
9	de	ADP	10	case
10	Bouchard	PROPN	8	nmod
11	está	AUX	13	cop
12	en	ADP	13	case
13	retroceso	NOUN	2	ccomp
14	y	CCONJ	15	cc
15	consiguió	VERB	13	conj
16	25.000	NUM	17	nummod
17	votos	NOUN	15	obj
18	menos	ADV	17	advmod
19	que	SCONJ	22	mark
20	el	DET	22	det
21	federalista	ADJ	22	amod
22	Partido	PROPN	17	nmod
23	Liberal	PROPN	22	flat
24	.	PUNCT	2	punct