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:
Trabajos anteriores habían demostrado, pero sólo en cultivos de laboratorio, que las células de la médula podían funcionar como stem cells (células pluripotenciales) y derivar hacia neuronas.
Postion	Tokenization
1	Trabajos
2	anteriores
3	habían
4	demostrado
5	,
6	pero
7	sólo
8	en
9	cultivos
10	de
11	laboratorio
12	,
13	que
14	las
15	células
16	de
17	la
18	médula
19	podían
20	funcionar
21	como
22	stem
23	cells
24	(
25	células
26	pluripotenciales
27	)
28	y
29	derivar
30	hacia
31	neuronas
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Trabajos	NOUN	4	nsubj
2	anteriores	ADJ	1	amod
3	habían	AUX	4	aux
4	demostrado	VERB	0	root
5	,	PUNCT	6	punct
6	pero	CCONJ	4	advmod
7	sólo	ADV	6	advmod
8	en	ADP	6	case
9	cultivos	NOUN	6	nmod
10	de	ADP	11	case
11	laboratorio	NOUN	9	nmod
12	,	PUNCT	6	punct
13	que	SCONJ	20	mark
14	las	DET	15	det
15	células	NOUN	20	nsubj
16	de	ADP	18	case
17	la	DET	18	det
18	médula	NOUN	15	nmod
19	podían	AUX	20	aux
20	funcionar	VERB	4	xcomp
21	como	SCONJ	22	mark
22	stem	NOUN	20	obl
23	cells	NOUN	22	compound
24	(	PUNCT	25	punct
25	células	NOUN	22	appos
26	pluripotenciales	ADJ	25	amod
27	)	PUNCT	25	punct
28	y	CCONJ	29	cc
29	derivar	VERB	20	conj
30	hacia	ADP	31	case
31	neuronas	NOUN	29	obl
32	.	PUNCT	4	punct