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:
La esperanza australiana se mantiene no obstante el Lleyton Hewitt que lleva ganados 13 partidos consecutivos y que mañana se enfrenta con el sueco Magnus Norman (12).
Postion	Tokenization
1	La
2	esperanza
3	australiana
4	se
5	mantiene
6	no
7	obstante
8	el
9	Lleyton
10	Hewitt
11	que
12	lleva
13	ganados
14	13
15	partidos
16	consecutivos
17	y
18	que
19	mañana
20	se
21	enfrenta
22	con
23	el
24	sueco
25	Magnus
26	Norman
27	(
28	12
29	)
30	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	esperanza	NOUN	5	nsubj
3	australiana	ADJ	2	amod
4	se	PRON	5	expl:pass
5	mantiene	VERB	6	parataxis
6	no	PART	0	root
7	obstante	NOUN	6	fixed
8	el	DET	9	det
9	Lleyton	PROPN	6	parataxis
10	Hewitt	PROPN	9	flat
11	que	PRON	12	nsubj
12	lleva	VERB	9	acl
13	ganados	ADJ	12	obj
14	13	NUM	15	nummod
15	partidos	NOUN	12	obj
16	consecutivos	ADJ	15	amod
17	y	CCONJ	21	cc
18	que	PRON	21	nsubj
19	mañana	ADV	21	advmod
20	se	PRON	21	expl:pv
21	enfrenta	VERB	12	conj
22	con	ADP	24	case
23	el	DET	24	det
24	sueco	NOUN	21	obj
25	Magnus	PROPN	24	appos
26	Norman	PROPN	25	flat
27	(	PUNCT	28	punct
28	12	NOUN	21	dep
29	)	PUNCT	28	punct
30	.	PUNCT	6	punct