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 "proyecto de protocolo de acuerdo" de nueve puntos, que los agentes sociales volverán a abordar el próximo lunes, reafirma la relación entre la "indemnización" de desempleo y la "ayuda" para volver a encontrar un trabajo, muy contestada por los sindicatos, pero su aplicación sería progresiva.
Postion	Tokenization
1	El
2	"
3	proyecto
4	de
5	protocolo
6	de
7	acuerdo
8	"
9	de
10	nueve
11	puntos
12	,
13	que
14	los
15	agentes
16	sociales
17	volverán
18	a
19	abordar
20	el
21	próximo
22	lunes
23	,
24	reafirma
25	la
26	relación
27	entre
28	la
29	"
30	indemnización
31	"
32	de
33	desempleo
34	y
35	la
36	"
37	ayuda
38	"
39	para
40	volver
41	a
42	encontrar
43	un
44	trabajo
45	,
46	muy
47	contestada
48	por
49	los
50	sindicatos
51	,
52	pero
53	su
54	aplicación
55	sería
56	progresiva
57	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	"	PUNCT	3	punct
3	proyecto	NOUN	24	nsubj
4	de	ADP	5	case
5	protocolo	NOUN	3	nmod
6	de	ADP	7	case
7	acuerdo	NOUN	5	nmod
8	"	PUNCT	3	punct
9	de	ADP	11	case
10	nueve	NUM	11	nummod
11	puntos	NOUN	3	nmod
12	,	PUNCT	17	punct
13	que	PRON	17	obj
14	los	DET	15	det
15	agentes	NOUN	17	nsubj
16	sociales	ADJ	15	amod
17	volverán	VERB	3	acl
18	a	ADP	19	mark
19	abordar	VERB	17	xcomp
20	el	DET	21	det
21	próximo	ADJ	17	obl
22	lunes	NOUN	21	compound
23	,	PUNCT	17	punct
24	reafirma	VERB	0	root
25	la	DET	26	det
26	relación	NOUN	24	obj
27	entre	ADP	30	case
28	la	DET	30	det
29	"	PUNCT	30	punct
30	indemnización	NOUN	26	nmod
31	"	PUNCT	33	punct
32	de	ADP	33	case
33	desempleo	NOUN	30	nmod
34	y	CCONJ	37	cc
35	la	DET	37	det
36	"	PUNCT	37	punct
37	ayuda	NOUN	30	conj
38	"	PUNCT	37	punct
39	para	ADP	40	mark
40	volver	VERB	37	acl
41	a	ADP	42	mark
42	encontrar	VERB	40	xcomp
43	un	DET	44	det
44	trabajo	NOUN	40	obj
45	,	PUNCT	47	punct
46	muy	ADV	47	advmod
47	contestada	ADJ	37	amod
48	por	ADP	50	case
49	los	DET	50	det
50	sindicatos	NOUN	47	obj
51	,	PUNCT	47	punct
52	pero	CCONJ	56	cc
53	su	DET	54	det
54	aplicación	NOUN	56	nsubj
55	sería	AUX	56	cop
56	progresiva	ADJ	24	conj
57	.	PUNCT	24	punct