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 ministro de Relaciones Exteriores de Cuba, Felipe Pérez Roque, defendió hoy sin reservas la guerra de Rusia en Chechenia al iniciar una visita de dos días a Moscú.
Postion	Tokenization
1	El
2	ministro
3	de
4	Relaciones
5	Exteriores
6	de
7	Cuba
8	,
9	Felipe
10	Pérez
11	Roque
12	,
13	defendió
14	hoy
15	sin
16	reservas
17	la
18	guerra
19	de
20	Rusia
21	en
22	Chechenia
23	al
24	iniciar
25	una
26	visita
27	de
28	dos
29	días
30	a
31	Moscú
32	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	ministro	NOUN	13	nsubj
3	de	ADP	4	case
4	Relaciones	PROPN	2	nmod
5	Exteriores	PROPN	4	flat
6	de	ADP	7	case
7	Cuba	PROPN	4	flat
8	,	PUNCT	9	punct
9	Felipe	PROPN	2	appos
10	Pérez	PROPN	9	flat
11	Roque	PROPN	9	flat
12	,	PUNCT	9	punct
13	defendió	VERB	0	root
14	hoy	ADV	13	advmod
15	sin	ADP	16	case
16	reservas	NOUN	13	obl
17	la	DET	18	det
18	guerra	NOUN	13	obj
19	de	ADP	20	case
20	Rusia	PROPN	18	nmod
21	en	ADP	22	case
22	Chechenia	PROPN	18	nmod
23	al	ADP	24	mark
24	iniciar	VERB	13	advcl
25	una	DET	26	det
26	visita	NOUN	24	obj
27	de	ADP	29	case
28	dos	NUM	29	nummod
29	días	NOUN	26	nmod
30	a	ADP	31	case
31	Moscú	PROPN	26	nmod
32	.	PUNCT	13	punct