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:
Este grupo ha creado una base de datos, que se ha preocupado de actualizar constantemente, con los nombres y direcciones de esos socios, que expresaron entonces con sus firmas su oposición al Nuñismo.
Postion	Tokenization
1	Este
2	grupo
3	ha
4	creado
5	una
6	base
7	de
8	datos
9	,
10	que
11	se
12	ha
13	preocupado
14	de
15	actualizar
16	constantemente
17	,
18	con
19	los
20	nombres
21	y
22	direcciones
23	de
24	esos
25	socios
26	,
27	que
28	expresaron
29	entonces
30	con
31	sus
32	firmas
33	su
34	oposición
35	al
36	Nuñismo
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Este	DET	2	det
2	grupo	NOUN	4	nsubj
3	ha	AUX	4	aux
4	creado	VERB	0	root
5	una	DET	6	det
6	base	NOUN	4	obj
7	de	ADP	8	case
8	datos	NOUN	6	nmod
9	,	PUNCT	13	punct
10	que	PRON	13	obj
11	se	PRON	13	expl:pv
12	ha	AUX	13	aux
13	preocupado	VERB	6	acl
14	de	ADP	15	mark
15	actualizar	VERB	13	advcl
16	constantemente	ADV	15	advmod
17	,	PUNCT	20	punct
18	con	ADP	20	case
19	los	DET	20	det
20	nombres	NOUN	15	obl
21	y	CCONJ	22	cc
22	direcciones	NOUN	20	conj
23	de	ADP	25	case
24	esos	DET	25	det
25	socios	NOUN	20	nmod
26	,	PUNCT	28	punct
27	que	PRON	28	nsubj
28	expresaron	VERB	25	acl
29	entonces	ADV	28	advmod
30	con	ADP	32	case
31	sus	DET	32	det
32	firmas	NOUN	28	obl
33	su	DET	34	det
34	oposición	NOUN	28	obj
35	al	ADP	36	case
36	Nuñismo	PROPN	34	nmod
37	.	PUNCT	4	punct