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:
La firma ayer, viernes, de un protocolo de acuerdo resolvió una crisis que sentó en Francia el precedente de la utilización de tácticas terroristas para defender reivindicaciones laborales.
Postion	Tokenization
1	La
2	firma
3	ayer
4	,
5	viernes
6	,
7	de
8	un
9	protocolo
10	de
11	acuerdo
12	resolvió
13	una
14	crisis
15	que
16	sentó
17	en
18	Francia
19	el
20	precedente
21	de
22	la
23	utilización
24	de
25	tácticas
26	terroristas
27	para
28	defender
29	reivindicaciones
30	laborales
31	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	firma	NOUN	12	nsubj
3	ayer	ADV	2	advmod
4	,	PUNCT	5	punct
5	viernes	NOUN	3	obl
6	,	PUNCT	5	punct
7	de	ADP	9	case
8	un	DET	9	det
9	protocolo	NOUN	2	nmod
10	de	ADP	11	case
11	acuerdo	NOUN	9	nmod
12	resolvió	VERB	0	root
13	una	DET	14	det
14	crisis	NOUN	12	obj
15	que	PRON	16	nsubj
16	sentó	VERB	14	acl
17	en	ADP	18	case
18	Francia	PROPN	16	obl
19	el	DET	20	det
20	precedente	NOUN	16	obj
21	de	ADP	23	case
22	la	DET	23	det
23	utilización	NOUN	20	nmod
24	de	ADP	25	case
25	tácticas	NOUN	23	nmod
26	terroristas	ADJ	25	amod
27	para	ADP	28	mark
28	defender	VERB	23	acl
29	reivindicaciones	NOUN	28	obj
30	laborales	ADJ	29	amod
31	.	PUNCT	12	punct