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:
- - El PP no prevé un adelanto electoral, y por tanto el congreso se enfoca como una oportunidad para relanzar el proyecto huyendo del debate nominalista.
Postion	Tokenization
1	-
2	-
3	El
4	PP
5	no
6	prevé
7	un
8	adelanto
9	electoral
10	,
11	y
12	por
13	tanto
14	el
15	congreso
16	se
17	enfoca
18	como
19	una
20	oportunidad
21	para
22	relanzar
23	el
24	proyecto
25	huyendo
26	del
27	debate
28	nominalista
29	.
Position	Tokenization	UPOS	Head	Deprel
1	-	PUNCT	6	punct
2	-	PUNCT	6	punct
3	El	DET	4	det
4	PP	PROPN	6	nsubj
5	no	ADV	6	advmod
6	prevé	VERB	0	root
7	un	DET	8	det
8	adelanto	NOUN	6	obj
9	electoral	ADJ	8	amod
10	,	PUNCT	17	punct
11	y	CCONJ	17	cc
12	por	ADP	17	advmod
13	tanto	NOUN	12	fixed
14	el	DET	15	det
15	congreso	NOUN	17	nsubj
16	se	PRON	17	expl:pv
17	enfoca	VERB	6	conj
18	como	SCONJ	20	mark
19	una	DET	20	det
20	oportunidad	NOUN	17	obj
21	para	ADP	22	mark
22	relanzar	VERB	20	acl
23	el	DET	24	det
24	proyecto	NOUN	22	obj
25	huyendo	VERB	22	xcomp
26	del	ADP	27	case
27	debate	NOUN	22	obl
28	nominalista	ADJ	27	amod
29	.	PUNCT	6	punct