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:
Cuatro meses después del trasplante, se encontró un notable número de células neuronales en distintas regiones del cerebro que descendían de las células trasplantadas.
Postion	Tokenization
1	Cuatro
2	meses
3	después
4	del
5	trasplante
6	,
7	se
8	encontró
9	un
10	notable
11	número
12	de
13	células
14	neuronales
15	en
16	distintas
17	regiones
18	del
19	cerebro
20	que
21	descendían
22	de
23	las
24	células
25	trasplantadas
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Cuatro	NUM	2	nummod
2	meses	NOUN	3	obl
3	después	ADV	8	advmod
4	del	ADP	5	case
5	trasplante	NOUN	3	obl
6	,	PUNCT	3	punct
7	se	PRON	8	expl:pass
8	encontró	VERB	0	root
9	un	DET	11	det
10	notable	ADJ	11	amod
11	número	NOUN	8	nsubj
12	de	ADP	13	case
13	células	NOUN	11	nmod
14	neuronales	ADJ	13	amod
15	en	ADP	17	case
16	distintas	DET	17	det
17	regiones	NOUN	8	obl
18	del	ADP	19	case
19	cerebro	NOUN	17	nmod
20	que	PRON	21	nsubj
21	descendían	VERB	8	advcl
22	de	ADP	24	case
23	las	DET	24	det
24	células	NOUN	21	obl
25	trasplantadas	ADJ	24	amod
26	.	PUNCT	8	punct