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:
Si Anna está a un paso de la capilla, Steffi Graff, novia de André Agassi, ha desmentido que tenga intención de casarse el próximo 14 de junio.
Postion	Tokenization
1	Si
2	Anna
3	está
4	a
5	un
6	paso
7	de
8	la
9	capilla
10	,
11	Steffi
12	Graff
13	,
14	novia
15	de
16	André
17	Agassi
18	,
19	ha
20	desmentido
21	que
22	tenga
23	intención
24	de
25	casarse
26	casar
27	se
28	el
29	próximo
30	14
31	de
32	junio
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Si	SCONJ	3	mark
2	Anna	PROPN	3	nsubj
3	está	VERB	20	advcl
4	a	ADP	6	case
5	un	DET	6	det
6	paso	NOUN	3	obl
7	de	ADP	9	case
8	la	DET	9	det
9	capilla	NOUN	6	nmod
10	,	PUNCT	3	punct
11	Steffi	PROPN	20	nsubj
12	Graff	PROPN	11	flat
13	,	PUNCT	14	punct
14	novia	NOUN	11	appos
15	de	ADP	16	case
16	André	PROPN	14	nmod
17	Agassi	PROPN	16	flat
18	,	PUNCT	14	punct
19	ha	AUX	20	aux
20	desmentido	VERB	0	root
21	que	SCONJ	22	mark
22	tenga	VERB	20	ccomp
23	intención	NOUN	22	obj
24	de	ADP	25	mark
25	casarse	_	None	_
26	casar	VERB	23	acl
27	se	PRON	25	expl:pv
28	el	DET	29	det
29	próximo	ADJ	29	amod
30	14	NUM	25	obl
31	de	ADP	31	case
32	junio	NOUN	29	compound
33	.	PUNCT	20	punct