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:
Ambos ministros dijeron que la conversación fue "muy franca", y Pérez Roque pareció dar a entender una solución de principio al asegurar que la reunión fue "útil para Cuba".
Postion	Tokenization
1	Ambos
2	ministros
3	dijeron
4	que
5	la
6	conversación
7	fue
8	"
9	muy
10	franca
11	"
12	,
13	y
14	Pérez
15	Roque
16	pareció
17	dar
18	a
19	entender
20	una
21	solución
22	de
23	principio
24	al
25	asegurar
26	que
27	la
28	reunión
29	fue
30	"
31	útil
32	para
33	Cuba
34	"
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Ambos	NUM	2	nummod
2	ministros	NOUN	3	nsubj
3	dijeron	VERB	0	root
4	que	SCONJ	10	mark
5	la	DET	6	det
6	conversación	NOUN	10	nsubj
7	fue	AUX	10	cop
8	"	PUNCT	10	punct
9	muy	ADV	10	advmod
10	franca	ADJ	3	ccomp
11	"	PUNCT	10	punct
12	,	PUNCT	16	punct
13	y	CCONJ	16	cc
14	Pérez	PROPN	16	nsubj
15	Roque	PROPN	14	flat
16	pareció	VERB	3	conj
17	dar	VERB	16	xcomp
18	a	ADP	19	mark
19	entender	VERB	17	xcomp
20	una	DET	21	det
21	solución	NOUN	17	obj
22	de	ADP	23	case
23	principio	NOUN	21	nmod
24	al	ADP	25	mark
25	asegurar	VERB	16	advcl
26	que	SCONJ	31	mark
27	la	DET	28	det
28	reunión	NOUN	31	nsubj
29	fue	AUX	31	cop
30	"	PUNCT	31	punct
31	útil	ADJ	25	ccomp
32	para	ADP	33	case
33	Cuba	PROPN	31	nmod
34	"	PUNCT	31	punct
35	.	PUNCT	3	punct