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 dirigente de CCOO admitió que hace falta un socio tecnológico que aumente las inversiones en investigación y desarrollo y ayude a la compañía a acceder a nuevos mercados.
Postion	Tokenization
1	El
2	dirigente
3	de
4	CCOO
5	admitió
6	que
7	hace
8	falta
9	un
10	socio
11	tecnológico
12	que
13	aumente
14	las
15	inversiones
16	en
17	investigación
18	y
19	desarrollo
20	y
21	ayude
22	a
23	la
24	compañía
25	a
26	acceder
27	a
28	nuevos
29	mercados
30	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	dirigente	NOUN	5	nsubj
3	de	ADP	4	case
4	CCOO	PROPN	2	nmod
5	admitió	VERB	0	root
6	que	SCONJ	7	mark
7	hace	VERB	5	ccomp
8	falta	NOUN	7	compound
9	un	DET	10	det
10	socio	NOUN	7	nsubj
11	tecnológico	ADJ	10	amod
12	que	PRON	13	nsubj
13	aumente	VERB	10	acl
14	las	DET	15	det
15	inversiones	NOUN	13	obj
16	en	ADP	17	case
17	investigación	NOUN	15	nmod
18	y	CCONJ	19	cc
19	desarrollo	NOUN	17	conj
20	y	CCONJ	21	cc
21	ayude	VERB	13	conj
22	a	ADP	24	case
23	la	DET	24	det
24	compañía	NOUN	21	iobj
25	a	ADP	26	mark
26	acceder	VERB	21	xcomp
27	a	ADP	29	case
28	nuevos	ADJ	29	amod
29	mercados	NOUN	26	obj
30	.	PUNCT	5	punct