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:
El duelo entre el mejor equipo de la Liga en casa y el peor a domicilio lo decidieron Roy Makaay, autor de dos tantos, y Donato, que firmó uno.
Postion	Tokenization
1	El
2	duelo
3	entre
4	el
5	mejor
6	equipo
7	de
8	la
9	Liga
10	en
11	casa
12	y
13	el
14	peor
15	a
16	domicilio
17	lo
18	decidieron
19	Roy
20	Makaay
21	,
22	autor
23	de
24	dos
25	tantos
26	,
27	y
28	Donato
29	,
30	que
31	firmó
32	uno
33	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	duelo	NOUN	18	iobj
3	entre	ADP	6	case
4	el	DET	6	det
5	mejor	ADJ	6	amod
6	equipo	NOUN	2	nmod
7	de	ADP	9	case
8	la	DET	9	det
9	Liga	PROPN	6	nmod
10	en	ADP	11	case
11	casa	NOUN	6	nmod
12	y	CCONJ	14	cc
13	el	DET	14	det
14	peor	ADJ	6	conj
15	a	ADP	16	case
16	domicilio	NOUN	14	nmod
17	lo	PRON	18	obj
18	decidieron	VERB	0	root
19	Roy	PROPN	18	nsubj
20	Makaay	PROPN	19	flat
21	,	PUNCT	22	punct
22	autor	NOUN	19	appos
23	de	ADP	25	case
24	dos	NUM	25	nummod
25	tantos	NOUN	22	nmod
26	,	PUNCT	22	punct
27	y	CCONJ	28	cc
28	Donato	PROPN	19	conj
29	,	PUNCT	31	punct
30	que	PRON	31	nsubj
31	firmó	VERB	28	acl
32	uno	PRON	31	obj
33	.	PUNCT	18	punct