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:
Gracias a que poseía el 28,6% de las acciones, De Mol ganó 261.000 millones, pero aun así sigue trabajando como director creativo en la firma.
Postion	Tokenization
1	Gracias
2	a
3	que
4	poseía
5	el
6	28,6%
7	de
8	las
9	acciones
10	,
11	De
12	Mol
13	ganó
14	261.000
15	millones
16	,
17	pero
18	aun
19	así
20	sigue
21	trabajando
22	como
23	director
24	creativo
25	en
26	la
27	firma
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Gracias	NOUN	4	mark
2	a	ADP	1	fixed
3	que	SCONJ	4	mark
4	poseía	VERB	13	advcl
5	el	DET	6	det
6	28,6%	SYM	4	obj
7	de	ADP	9	case
8	las	DET	9	det
9	acciones	NOUN	6	nmod
10	,	PUNCT	4	punct
11	De	ADP	12	case
12	Mol	PROPN	13	nsubj
13	ganó	VERB	0	root
14	261.000	NUM	15	nummod
15	millones	NOUN	13	obj
16	,	PUNCT	20	punct
17	pero	CCONJ	20	cc
18	aun	ADV	19	advmod
19	así	ADV	20	advmod
20	sigue	VERB	13	conj
21	trabajando	VERB	20	xcomp
22	como	SCONJ	23	mark
23	director	NOUN	21	obj
24	creativo	ADJ	23	amod
25	en	ADP	27	case
26	la	DET	27	det
27	firma	NOUN	20	obl
28	.	PUNCT	13	punct