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:
Para atraparlas, el equipo de Sutter colocó bajo el cuero cabelludo del doctor Meagher cuatro finos electrodos, similares a los que se usan en las electroencefalografías.
Postion	Tokenization
1	Para
2	atraparlas
3	atrapar
4	las
5	,
6	el
7	equipo
8	de
9	Sutter
10	colocó
11	bajo
12	el
13	cuero
14	cabelludo
15	del
16	doctor
17	Meagher
18	cuatro
19	finos
20	electrodos
21	,
22	similares
23	a
24	los
25	que
26	se
27	usan
28	en
29	las
30	electroencefalografías
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Para	ADP	2	mark
2	atraparlas	_	None	_
3	atrapar	VERB	9	advcl
4	las	PRON	2	obj
5	,	PUNCT	2	punct
6	el	DET	6	det
7	equipo	NOUN	9	nsubj
8	de	ADP	8	case
9	Sutter	PROPN	6	nmod
10	colocó	VERB	0	root
11	bajo	ADP	12	case
12	el	DET	12	det
13	cuero	NOUN	9	obl
14	cabelludo	ADJ	12	amod
15	del	ADP	15	case
16	doctor	NOUN	12	nmod
17	Meagher	PROPN	15	appos
18	cuatro	NUM	19	nummod
19	finos	ADJ	19	amod
20	electrodos	NOUN	9	obj
21	,	PUNCT	21	punct
22	similares	ADJ	19	amod
23	a	ADP	26	mark
24	los	DET	26	det
25	que	PRON	26	nsubj
26	se	PRON	26	expl:pass
27	usan	VERB	21	acl
28	en	ADP	29	case
29	las	DET	29	det
30	electroencefalografías	NOUN	26	obl
31	.	PUNCT	9	punct