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:
Las células de la médula ósea se acaban de revelar como una excelente fuente, menos conflictiva y más abundante que las células embrionarias, para fabricar a partir de ellas neuronas cerebrales, un tejido que no se regenera en caso de deterioro.
Postion	Tokenization
1	Las
2	células
3	de
4	la
5	médula
6	ósea
7	se
8	acaban
9	de
10	revelar
11	como
12	una
13	excelente
14	fuente
15	,
16	menos
17	conflictiva
18	y
19	más
20	abundante
21	que
22	las
23	células
24	embrionarias
25	,
26	para
27	fabricar
28	a
29	partir
30	de
31	ellas
32	neuronas
33	cerebrales
34	,
35	un
36	tejido
37	que
38	no
39	se
40	regenera
41	en
42	caso
43	de
44	deterioro
45	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	células	NOUN	8	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	médula	NOUN	2	nmod
6	ósea	ADJ	5	amod
7	se	PRON	10	expl:pv
8	acaban	VERB	0	root
9	de	ADP	10	mark
10	revelar	VERB	8	xcomp
11	como	SCONJ	14	mark
12	una	DET	14	det
13	excelente	ADJ	14	amod
14	fuente	NOUN	10	obj
15	,	PUNCT	17	punct
16	menos	ADV	17	advmod
17	conflictiva	ADJ	14	amod
18	y	CCONJ	20	cc
19	más	ADV	20	advmod
20	abundante	ADJ	17	conj
21	que	SCONJ	23	mark
22	las	DET	23	det
23	células	NOUN	17	obl
24	embrionarias	ADJ	23	amod
25	,	PUNCT	17	punct
26	para	ADP	27	mark
27	fabricar	VERB	14	acl
28	a	ADP	31	case
29	partir	NOUN	28	fixed
30	de	ADP	28	fixed
31	ellas	PRON	27	obl
32	neuronas	NOUN	27	obj
33	cerebrales	ADJ	32	amod
34	,	PUNCT	40	punct
35	un	DET	40	det
36	tejido	ADJ	40	amod
37	que	PRON	40	nsubj
38	no	ADV	40	advmod
39	se	PRON	40	expl:pv
40	regenera	VERB	32	appos
41	en	ADP	44	case
42	caso	NOUN	41	fixed
43	de	ADP	41	fixed
44	deterioro	NOUN	40	obl
45	.	PUNCT	8	punct