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:
"Yo llevaré a `Robert Beauvalais´ un caballo excepcional de 13 años, y que cuido como lo mejor que tengo, ya que su gran cabeza me hace ser muy competitiva", agrega.
Postion	Tokenization
1	"
2	Yo
3	llevaré
4	a
5	`Robert
6	Beauvalais´
7	un
8	caballo
9	excepcional
10	de
11	13
12	años
13	,
14	y
15	que
16	cuido
17	como
18	lo
19	mejor
20	que
21	tengo
22	,
23	ya
24	que
25	su
26	gran
27	cabeza
28	me
29	hace
30	ser
31	muy
32	competitiva
33	"
34	,
35	agrega
36	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	3	punct
2	Yo	PRON	3	nsubj
3	llevaré	VERB	35	ccomp
4	a	ADP	5	case
5	`Robert	PROPN	3	obj
6	Beauvalais´	PROPN	5	flat
7	un	DET	8	det
8	caballo	NOUN	5	appos
9	excepcional	ADJ	8	amod
10	de	ADP	12	case
11	13	NUM	12	nummod
12	años	NOUN	8	nmod
13	,	PUNCT	12	punct
14	y	CCONJ	16	cc
15	que	PRON	16	obj
16	cuido	VERB	12	conj
17	como	SCONJ	21	mark
18	lo	PRON	21	det
19	mejor	ADJ	21	amod
20	que	PRON	21	obj
21	tengo	VERB	16	advcl
22	,	PUNCT	29	punct
23	ya	ADV	29	mark
24	que	SCONJ	23	fixed
25	su	DET	27	det
26	gran	ADJ	27	amod
27	cabeza	NOUN	29	nsubj
28	me	PRON	29	iobj
29	hace	VERB	3	advcl
30	ser	AUX	32	cop
31	muy	ADV	29	advmod
32	competitiva	ADJ	29	xcomp
33	"	PUNCT	3	punct
34	,	PUNCT	3	punct
35	agrega	VERB	0	root
36	.	PUNCT	35	punct