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:
Pérez Roque, portador de un mensaje personal del presidente Fidel Castro al jefe de Estado interino y primer ministro de Rusia, Vladímir Putin, llegó anoche a Rusia tras una gira por Italia, Francia y Dinamarca.
Postion	Tokenization
1	Pérez
2	Roque
3	,
4	portador
5	de
6	un
7	mensaje
8	personal
9	del
10	presidente
11	Fidel
12	Castro
13	al
14	jefe
15	de
16	Estado
17	interino
18	y
19	primer
20	ministro
21	de
22	Rusia
23	,
24	Vladímir
25	Putin
26	,
27	llegó
28	anoche
29	a
30	Rusia
31	tras
32	una
33	gira
34	por
35	Italia
36	,
37	Francia
38	y
39	Dinamarca
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Pérez	PROPN	27	nsubj
2	Roque	PROPN	1	flat
3	,	PUNCT	4	punct
4	portador	ADJ	1	amod
5	de	ADP	7	case
6	un	DET	7	det
7	mensaje	NOUN	4	nmod
8	personal	ADJ	7	amod
9	del	ADP	10	case
10	presidente	NOUN	7	nmod
11	Fidel	PROPN	10	appos
12	Castro	PROPN	11	flat
13	al	ADP	14	case
14	jefe	NOUN	7	nmod
15	de	ADP	16	case
16	Estado	PROPN	14	nmod
17	interino	ADJ	14	amod
18	y	CCONJ	20	cc
19	primer	ADJ	20	amod
20	ministro	NOUN	14	conj
21	de	ADP	22	case
22	Rusia	PROPN	20	nmod
23	,	PUNCT	24	punct
24	Vladímir	PROPN	14	appos
25	Putin	PROPN	24	flat
26	,	PUNCT	24	punct
27	llegó	VERB	0	root
28	anoche	ADV	27	advmod
29	a	ADP	30	case
30	Rusia	PROPN	27	obl
31	tras	ADP	33	case
32	una	DET	33	det
33	gira	NOUN	27	obl
34	por	ADP	35	case
35	Italia	PROPN	33	nmod
36	,	PUNCT	37	punct
37	Francia	PROPN	35	conj
38	y	CCONJ	39	cc
39	Dinamarca	PROPN	35	conj
40	.	PUNCT	27	punct