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:
Esto indica que las stem cells de otras partes del organismo pueden llegar al cerebro y especializarse como si fueran células neuronales.
Postion	Tokenization
1	Esto
2	indica
3	que
4	las
5	stem
6	cells
7	de
8	otras
9	partes
10	del
11	organismo
12	pueden
13	llegar
14	al
15	cerebro
16	y
17	especializarse
18	especializar
19	se
20	como
21	si
22	fueran
23	células
24	neuronales
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Esto	PRON	2	nsubj
2	indica	VERB	0	root
3	que	SCONJ	13	mark
4	las	DET	5	det
5	stem	NOUN	13	nsubj
6	cells	NOUN	5	compound
7	de	ADP	9	case
8	otras	DET	9	det
9	partes	NOUN	5	nmod
10	del	ADP	11	case
11	organismo	NOUN	9	nmod
12	pueden	AUX	13	aux
13	llegar	VERB	2	xcomp
14	al	ADP	15	case
15	cerebro	NOUN	13	obl
16	y	CCONJ	17	cc
17	especializarse	_	None	_
18	especializar	VERB	13	conj
19	se	PRON	17	expl:pv
20	como	SCONJ	22	mark
21	si	SCONJ	22	mark
22	fueran	AUX	22	cop
23	células	NOUN	17	advcl
24	neuronales	ADJ	22	amod
25	.	PUNCT	2	punct