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:
Fuentes oficiosas próximas al Ministerio ruso de Exteriores habían adelantado poco antes de la visita del canciller cubano que Moscú "está abierto" al diálogo sobre la deuda.
Postion	Tokenization
1	Fuentes
2	oficiosas
3	próximas
4	al
5	Ministerio
6	ruso
7	de
8	Exteriores
9	habían
10	adelantado
11	poco
12	antes
13	de
14	la
15	visita
16	del
17	canciller
18	cubano
19	que
20	Moscú
21	"
22	está
23	abierto
24	"
25	al
26	diálogo
27	sobre
28	la
29	deuda
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Fuentes	NOUN	10	nsubj
2	oficiosas	ADJ	1	amod
3	próximas	ADJ	1	amod
4	al	ADP	5	case
5	Ministerio	PROPN	3	nmod
6	ruso	ADJ	5	amod
7	de	ADP	8	case
8	Exteriores	PROPN	5	nmod
9	habían	AUX	10	aux
10	adelantado	VERB	0	root
11	poco	ADV	12	advmod
12	antes	ADV	10	advmod
13	de	ADP	15	case
14	la	DET	15	det
15	visita	NOUN	12	obl
16	del	ADP	17	case
17	canciller	NOUN	15	nmod
18	cubano	ADJ	17	amod
19	que	SCONJ	23	mark
20	Moscú	PROPN	23	nsubj
21	"	PUNCT	23	punct
22	está	AUX	23	cop
23	abierto	ADJ	10	ccomp
24	"	PUNCT	23	punct
25	al	ADP	26	case
26	diálogo	NOUN	23	obl
27	sobre	ADP	29	case
28	la	DET	29	det
29	deuda	NOUN	26	nmod
30	.	PUNCT	10	punct