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:
Blanco destacó las resoluciones aprobadas en el Congreso sobre la política interna del partido, y especialmente las primarias, de las que se mostró partidario siempre que se regulen correctamente.
Postion	Tokenization
1	Blanco
2	destacó
3	las
4	resoluciones
5	aprobadas
6	en
7	el
8	Congreso
9	sobre
10	la
11	política
12	interna
13	del
14	partido
15	,
16	y
17	especialmente
18	las
19	primarias
20	,
21	de
22	las
23	que
24	se
25	mostró
26	partidario
27	siempre
28	que
29	se
30	regulen
31	correctamente
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Blanco	PROPN	2	nsubj
2	destacó	VERB	0	root
3	las	DET	4	det
4	resoluciones	NOUN	2	obj
5	aprobadas	ADJ	4	amod
6	en	ADP	8	case
7	el	DET	8	det
8	Congreso	PROPN	5	obl
9	sobre	ADP	11	case
10	la	DET	11	det
11	política	NOUN	4	nmod
12	interna	ADJ	11	amod
13	del	ADP	14	case
14	partido	NOUN	11	nmod
15	,	PUNCT	19	punct
16	y	CCONJ	19	cc
17	especialmente	ADV	19	advmod
18	las	DET	19	det
19	primarias	NOUN	4	conj
20	,	PUNCT	25	punct
21	de	ADP	23	case
22	las	DET	23	det
23	que	PRON	25	obj
24	se	PRON	25	expl:pv
25	mostró	VERB	19	acl
26	partidario	ADJ	25	obj
27	siempre	ADV	30	mark
28	que	SCONJ	27	fixed
29	se	PRON	30	expl:pass
30	regulen	VERB	25	advcl
31	correctamente	ADV	30	advmod
32	.	PUNCT	2	punct