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 Fiorentina sumó los tres puntos en juego a pesar de que sus méritos fueron escasos y de que el argentino Batistuta estuvo negado ante la portería defendida por Cañizares.
Postion	Tokenization
1	La
2	Fiorentina
3	sumó
4	los
5	tres
6	puntos
7	en
8	juego
9	a
10	pesar
11	de
12	que
13	sus
14	méritos
15	fueron
16	escasos
17	y
18	de
19	que
20	el
21	argentino
22	Batistuta
23	estuvo
24	negado
25	ante
26	la
27	portería
28	defendida
29	por
30	Cañizares
31	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	Fiorentina	PROPN	3	nsubj
3	sumó	VERB	0	root
4	los	DET	6	det
5	tres	NUM	4	nummod
6	puntos	NOUN	3	obj
7	en	ADP	8	case
8	juego	NOUN	6	nmod
9	a	ADP	16	mark
10	pesar	NOUN	9	fixed
11	de	ADP	9	fixed
12	que	SCONJ	9	fixed
13	sus	DET	14	det
14	méritos	NOUN	16	nsubj
15	fueron	AUX	16	cop
16	escasos	ADJ	3	advcl
17	y	CCONJ	24	cc
18	de	ADP	24	mark
19	que	SCONJ	18	fixed
20	el	DET	21	det
21	argentino	NOUN	24	nsubj
22	Batistuta	PROPN	21	appos
23	estuvo	AUX	24	cop
24	negado	ADJ	16	conj
25	ante	ADP	27	case
26	la	DET	27	det
27	portería	NOUN	24	obl
28	defendida	ADJ	27	amod
29	por	ADP	30	case
30	Cañizares	PROPN	28	obj
31	.	PUNCT	3	punct