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:
Desde entonces, el trabajo de la institución consiste en "revitalizar las más diversas disciplinas de la cultura regional mediante la celebración de congresos y seminarios, la publicación de libros y el rescate de joyas perdidas de nuestra bibliografía, la edición de memorias y boletines, y la atención meticulosa a todas aquellas consultas que se nos hacen desde los pueblos y ciudades de Extremadura.
Postion	Tokenization
1	Desde
2	entonces
3	,
4	el
5	trabajo
6	de
7	la
8	institución
9	consiste
10	en
11	"
12	revitalizar
13	las
14	más
15	diversas
16	disciplinas
17	de
18	la
19	cultura
20	regional
21	mediante
22	la
23	celebración
24	de
25	congresos
26	y
27	seminarios
28	,
29	la
30	publicación
31	de
32	libros
33	y
34	el
35	rescate
36	de
37	joyas
38	perdidas
39	de
40	nuestra
41	bibliografía
42	,
43	la
44	edición
45	de
46	memorias
47	y
48	boletines
49	,
50	y
51	la
52	atención
53	meticulosa
54	a
55	todas
56	aquellas
57	consultas
58	que
59	se
60	nos
61	hacen
62	desde
63	los
64	pueblos
65	y
66	ciudades
67	de
68	Extremadura
69	.
Position	Tokenization	UPOS	Head	Deprel
1	Desde	ADP	2	case
2	entonces	ADV	9	advmod
3	,	PUNCT	2	punct
4	el	DET	5	det
5	trabajo	NOUN	9	nsubj
6	de	ADP	8	case
7	la	DET	8	det
8	institución	NOUN	5	nmod
9	consiste	VERB	0	root
10	en	ADP	12	mark
11	"	PUNCT	12	punct
12	revitalizar	VERB	9	xcomp
13	las	DET	16	det
14	más	ADV	15	advmod
15	diversas	ADJ	16	amod
16	disciplinas	NOUN	12	obj
17	de	ADP	19	case
18	la	DET	19	det
19	cultura	NOUN	16	nmod
20	regional	ADJ	19	amod
21	mediante	ADP	23	case
22	la	DET	23	det
23	celebración	NOUN	12	obl
24	de	ADP	25	case
25	congresos	NOUN	23	nmod
26	y	CCONJ	27	cc
27	seminarios	NOUN	25	conj
28	,	PUNCT	30	punct
29	la	DET	30	det
30	publicación	NOUN	23	appos
31	de	ADP	32	case
32	libros	NOUN	30	nmod
33	y	CCONJ	35	cc
34	el	DET	35	det
35	rescate	NOUN	30	conj
36	de	ADP	37	case
37	joyas	NOUN	35	nmod
38	perdidas	ADJ	37	amod
39	de	ADP	41	case
40	nuestra	DET	41	det
41	bibliografía	NOUN	37	nmod
42	,	PUNCT	44	punct
43	la	DET	44	det
44	edición	NOUN	23	appos
45	de	ADP	46	case
46	memorias	NOUN	44	nmod
47	y	CCONJ	48	cc
48	boletines	NOUN	46	conj
49	,	PUNCT	44	punct
50	y	CCONJ	52	cc
51	la	DET	52	det
52	atención	NOUN	23	conj
53	meticulosa	ADJ	52	amod
54	a	ADP	57	case
55	todas	DET	56	det
56	aquellas	DET	57	det
57	consultas	NOUN	52	nmod
58	que	PRON	61	nsubj
59	se	PRON	61	expl:pass
60	nos	PRON	61	iobj
61	hacen	VERB	57	acl
62	desde	ADP	64	case
63	los	DET	64	det
64	pueblos	NOUN	61	obl
65	y	CCONJ	66	cc
66	ciudades	NOUN	64	conj
67	de	ADP	68	case
68	Extremadura	PROPN	64	nmod
69	.	PUNCT	9	punct