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:
De repetirse, es probable que sea más fácil que la segunda célula nerviosa se dispare cuando lo hace la primera.
Postion	Tokenization
1	De
2	repetirse
3	repetir
4	se
5	,
6	es
7	probable
8	que
9	sea
10	más
11	fácil
12	que
13	la
14	segunda
15	célula
16	nerviosa
17	se
18	dispare
19	cuando
20	lo
21	hace
22	la
23	primera
24	.
Position	Tokenization	UPOS	Head	Deprel
1	De	ADP	2	mark
2	repetirse	_	None	_
3	repetir	VERB	6	advcl
4	se	PRON	2	expl:pv
5	,	PUNCT	2	punct
6	es	AUX	6	cop
7	probable	ADJ	0	root
8	que	SCONJ	10	mark
9	sea	AUX	10	cop
10	más	ADV	10	advmod
11	fácil	ADJ	6	csubj
12	que	SCONJ	17	mark
13	la	DET	14	det
14	segunda	ADJ	14	amod
15	célula	NOUN	17	nsubj
16	nerviosa	ADJ	14	amod
17	se	PRON	17	expl:pv
18	dispare	VERB	10	csubj
19	cuando	SCONJ	20	mark
20	lo	PRON	20	obj
21	hace	VERB	17	advcl
22	la	DET	22	det
23	primera	ADJ	20	nsubj
24	.	PUNCT	6	punct