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 derrota del cuadro minero dejó bastante preocupado a su entrenador Arturo Salah, ya que el próximo martes sus jugadores deberán enfrentar a los del Bella Vista, de Uruguay, por la Copa Libertadores.
Postion	Tokenization
1	La
2	derrota
3	del
4	cuadro
5	minero
6	dejó
7	bastante
8	preocupado
9	a
10	su
11	entrenador
12	Arturo
13	Salah
14	,
15	ya
16	que
17	el
18	próximo
19	martes
20	sus
21	jugadores
22	deberán
23	enfrentar
24	a
25	los
26	del
27	Bella
28	Vista
29	,
30	de
31	Uruguay
32	,
33	por
34	la
35	Copa
36	Libertadores
37	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	derrota	NOUN	6	nsubj
3	del	ADP	4	case
4	cuadro	NOUN	2	nmod
5	minero	ADJ	4	amod
6	dejó	VERB	0	root
7	bastante	ADV	8	advmod
8	preocupado	ADJ	6	obj
9	a	ADP	11	case
10	su	DET	11	det
11	entrenador	NOUN	6	obj
12	Arturo	PROPN	11	appos
13	Salah	PROPN	12	flat
14	,	PUNCT	23	punct
15	ya	ADV	23	mark
16	que	SCONJ	15	fixed
17	el	DET	19	det
18	próximo	ADJ	19	amod
19	martes	NOUN	23	obl
20	sus	DET	21	det
21	jugadores	NOUN	23	nsubj
22	deberán	AUX	23	aux
23	enfrentar	VERB	6	advcl
24	a	ADP	25	case
25	los	DET	23	det
26	del	ADP	25	case
27	Bella	PROPN	25	obj
28	Vista	PROPN	27	flat
29	,	PUNCT	31	punct
30	de	ADP	31	case
31	Uruguay	PROPN	27	nmod
32	,	PUNCT	31	punct
33	por	ADP	35	case
34	la	DET	35	det
35	Copa	PROPN	23	obl
36	Libertadores	PROPN	35	flat
37	.	PUNCT	6	punct