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:
Recuerdo un relato de Borges en el que se hablaba de un hombre que era capaz de decapitar una rata con los dientes.
Postion	Tokenization
1	Recuerdo
2	un
3	relato
4	de
5	Borges
6	en
7	el
8	que
9	se
10	hablaba
11	de
12	un
13	hombre
14	que
15	era
16	capaz
17	de
18	decapitar
19	una
20	rata
21	con
22	los
23	dientes
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Recuerdo	VERB	0	root
2	un	DET	3	det
3	relato	NOUN	1	obj
4	de	ADP	5	case
5	Borges	PROPN	3	nmod
6	en	ADP	8	case
7	el	DET	8	det
8	que	PRON	10	obl
9	se	PRON	10	expl:impers
10	hablaba	VERB	3	acl
11	de	ADP	13	case
12	un	DET	13	det
13	hombre	NOUN	10	obj
14	que	PRON	16	nsubj
15	era	AUX	16	cop
16	capaz	ADJ	13	acl
17	de	ADP	18	mark
18	decapitar	VERB	16	acl
19	una	DET	20	det
20	rata	NOUN	18	obj
21	con	ADP	23	case
22	los	DET	23	det
23	dientes	NOUN	18	obl
24	.	PUNCT	1	punct