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:
Precisó que el incremento de los "actos fascistas" está en relación con la rectificación de los dirigentes alaveses de EH, al renegar de la denuncia contra la violencia.
Postion	Tokenization
1	Precisó
2	que
3	el
4	incremento
5	de
6	los
7	"
8	actos
9	fascistas
10	"
11	está
12	en
13	relación
14	con
15	la
16	rectificación
17	de
18	los
19	dirigentes
20	alaveses
21	de
22	EH
23	,
24	al
25	renegar
26	de
27	la
28	denuncia
29	contra
30	la
31	violencia
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Precisó	VERB	0	root
2	que	SCONJ	16	mark
3	el	DET	4	det
4	incremento	NOUN	16	nsubj
5	de	ADP	8	case
6	los	DET	8	det
7	"	PUNCT	8	punct
8	actos	NOUN	4	nmod
9	fascistas	ADJ	8	amod
10	"	PUNCT	8	punct
11	está	AUX	16	cop
12	en	ADP	16	case
13	relación	NOUN	12	fixed
14	con	ADP	12	fixed
15	la	DET	16	det
16	rectificación	NOUN	1	ccomp
17	de	ADP	19	case
18	los	DET	19	det
19	dirigentes	NOUN	16	nmod
20	alaveses	ADJ	19	amod
21	de	ADP	22	case
22	EH	PROPN	19	nmod
23	,	PUNCT	25	punct
24	al	ADP	25	mark
25	renegar	VERB	16	acl
26	de	ADP	28	case
27	la	DET	28	det
28	denuncia	NOUN	25	obj
29	contra	ADP	31	case
30	la	DET	31	det
31	violencia	NOUN	28	nmod
32	.	PUNCT	1	punct