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:
El dos veces campeón del Abierto de Estados Unidos reiteró que aunque el tenis seguía siendo una de ellas, también existía un elevado grado de confusión en su valoración de lo que puede ser el futuro como profesional.
Postion	Tokenization
1	El
2	dos
3	veces
4	campeón
5	del
6	Abierto
7	de
8	Estados
9	Unidos
10	reiteró
11	que
12	aunque
13	el
14	tenis
15	seguía
16	siendo
17	una
18	de
19	ellas
20	,
21	también
22	existía
23	un
24	elevado
25	grado
26	de
27	confusión
28	en
29	su
30	valoración
31	de
32	lo
33	que
34	puede
35	ser
36	el
37	futuro
38	como
39	profesional
40	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	dos	NUM	3	nummod
3	veces	NOUN	4	nmod
4	campeón	NOUN	10	nsubj
5	del	ADP	6	case
6	Abierto	PROPN	4	nmod
7	de	ADP	8	case
8	Estados	PROPN	6	flat
9	Unidos	PROPN	8	flat
10	reiteró	VERB	0	root
11	que	SCONJ	22	mark
12	aunque	SCONJ	15	mark
13	el	DET	14	det
14	tenis	NOUN	15	nsubj
15	seguía	VERB	22	advcl
16	siendo	AUX	17	cop
17	una	PRON	15	xcomp
18	de	ADP	19	case
19	ellas	PRON	17	nmod
20	,	PUNCT	15	punct
21	también	ADV	22	advmod
22	existía	VERB	10	ccomp
23	un	DET	25	det
24	elevado	ADJ	25	amod
25	grado	NOUN	22	nsubj
26	de	ADP	27	case
27	confusión	NOUN	25	nmod
28	en	ADP	30	case
29	su	DET	30	det
30	valoración	NOUN	22	obl
31	de	ADP	37	case
32	lo	PRON	37	det
33	que	PRON	37	nsubj
34	puede	AUX	37	aux
35	ser	AUX	37	cop
36	el	DET	37	det
37	futuro	NOUN	30	acl
38	como	SCONJ	39	mark
39	profesional	NOUN	37	obl
40	.	PUNCT	10	punct