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:
En los cuatro enfrentamientos que ambos había disputado, Squillari venció en Múnich este año y en Casablanca en 1997, pero se inclinó ante El Aynaoui en Buenos Aires en 1998 y en Guadalajara un año antes.
Postion	Tokenization
1	En
2	los
3	cuatro
4	enfrentamientos
5	que
6	ambos
7	había
8	disputado
9	,
10	Squillari
11	venció
12	en
13	Múnich
14	este
15	año
16	y
17	en
18	Casablanca
19	en
20	1997
21	,
22	pero
23	se
24	inclinó
25	ante
26	El
27	Aynaoui
28	en
29	Buenos
30	Aires
31	en
32	1998
33	y
34	en
35	Guadalajara
36	un
37	año
38	antes
39	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	4	case
2	los	DET	4	det
3	cuatro	NUM	2	nummod
4	enfrentamientos	NOUN	11	obl
5	que	PRON	8	obj
6	ambos	NUM	8	nsubj
7	había	AUX	8	aux
8	disputado	VERB	4	acl
9	,	PUNCT	4	punct
10	Squillari	PROPN	11	nsubj
11	venció	VERB	0	root
12	en	ADP	13	case
13	Múnich	PROPN	11	obl
14	este	DET	15	det
15	año	NOUN	11	obl
16	y	CCONJ	18	cc
17	en	ADP	18	case
18	Casablanca	PROPN	15	conj
19	en	ADP	20	case
20	1997	NOUN	18	nmod
21	,	PUNCT	24	punct
22	pero	CCONJ	24	cc
23	se	PRON	24	expl:pv
24	inclinó	VERB	11	conj
25	ante	ADP	27	case
26	El	DET	27	det
27	Aynaoui	PROPN	24	obj
28	en	ADP	29	case
29	Buenos	PROPN	24	obl
30	Aires	PROPN	29	flat
31	en	ADP	32	case
32	1998	NOUN	24	obl
33	y	CCONJ	35	cc
34	en	ADP	35	case
35	Guadalajara	PROPN	24	conj
36	un	DET	37	det
37	año	NOUN	38	obl
38	antes	ADV	35	advmod
39	.	PUNCT	11	punct