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:
Éstos serán los grandes duelos que se dirimirán a partir del viernes en el Estadio Nacional de Australia: GREENE - JOHNSON, A DEBATE EL NUMERO UNO.
Postion	Tokenization
1	Éstos
2	serán
3	los
4	grandes
5	duelos
6	que
7	se
8	dirimirán
9	a
10	partir
11	del
12	viernes
13	en
14	el
15	Estadio
16	Nacional
17	de
18	Australia
19	:
20	GREENE
21	-
22	JOHNSON
23	,
24	A
25	DEBATE
26	EL
27	NUMERO
28	UNO
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Éstos	PRON	5	nsubj
2	serán	AUX	5	cop
3	los	DET	5	det
4	grandes	ADJ	5	amod
5	duelos	NOUN	0	root
6	que	PRON	8	nsubj
7	se	PRON	8	expl:pass
8	dirimirán	VERB	5	acl
9	a	ADP	12	case
10	partir	NOUN	9	fixed
11	del	ADP	9	fixed
12	viernes	NOUN	8	obl
13	en	ADP	15	case
14	el	DET	15	det
15	Estadio	PROPN	8	obl
16	Nacional	PROPN	15	flat
17	de	ADP	18	case
18	Australia	PROPN	15	nmod
19	:	PUNCT	20	punct
20	GREENE	PROPN	5	obl
21	-	PUNCT	22	punct
22	JOHNSON	PROPN	20	conj
23	,	PUNCT	20	punct
24	A	ADP	25	case
25	DEBATE	NOUN	20	nmod
26	EL	DET	27	det
27	NUMERO	NOUN	20	appos
28	UNO	NOUN	27	appos
29	.	PUNCT	5	punct