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:
"Guga se convirtió en el 2000 en el tenista número uno del mundo, al alcanzar el mejor nivel en toda su carrera, pero aún puede mejorar.
Postion	Tokenization
1	"
2	Guga
3	se
4	convirtió
5	en
6	el
7	2000
8	en
9	el
10	tenista
11	número
12	uno
13	del
14	mundo
15	,
16	al
17	alcanzar
18	el
19	mejor
20	nivel
21	en
22	toda
23	su
24	carrera
25	,
26	pero
27	aún
28	puede
29	mejorar
30	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	4	punct
2	Guga	PROPN	4	nsubj
3	se	PRON	4	expl:pv
4	convirtió	VERB	0	root
5	en	ADP	7	case
6	el	DET	7	det
7	2000	NOUN	4	obl
8	en	ADP	10	case
9	el	DET	10	det
10	tenista	NOUN	4	obj
11	número	NOUN	10	nmod
12	uno	PRON	11	nmod
13	del	ADP	14	case
14	mundo	NOUN	11	nmod
15	,	PUNCT	17	punct
16	al	ADP	17	mark
17	alcanzar	VERB	4	advcl
18	el	DET	20	det
19	mejor	ADJ	20	amod
20	nivel	NOUN	17	obj
21	en	ADP	24	case
22	toda	DET	23	det
23	su	DET	24	det
24	carrera	NOUN	20	nmod
25	,	PUNCT	29	punct
26	pero	CCONJ	29	cc
27	aún	ADV	29	advmod
28	puede	AUX	29	aux
29	mejorar	VERB	4	conj
30	.	PUNCT	4	punct