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:
"Fue muy oportuna, una Cumbre realmente histórica, nos ayudó a hacer las relaciones bilaterales con representantes de naciones con las que Venezuela tiene intereses", destacó el mandatario.
Postion	Tokenization
1	"
2	Fue
3	muy
4	oportuna
5	,
6	una
7	Cumbre
8	realmente
9	histórica
10	,
11	nos
12	ayudó
13	a
14	hacer
15	las
16	relaciones
17	bilaterales
18	con
19	representantes
20	de
21	naciones
22	con
23	las
24	que
25	Venezuela
26	tiene
27	intereses
28	"
29	,
30	destacó
31	el
32	mandatario
33	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	4	punct
2	Fue	AUX	4	cop
3	muy	ADV	4	advmod
4	oportuna	ADJ	30	ccomp
5	,	PUNCT	4	punct
6	una	DET	7	det
7	Cumbre	PROPN	4	obl
8	realmente	ADV	9	advmod
9	histórica	ADJ	7	amod
10	,	PUNCT	4	punct
11	nos	PRON	12	iobj
12	ayudó	VERB	4	advcl
13	a	ADP	14	mark
14	hacer	VERB	12	xcomp
15	las	DET	16	det
16	relaciones	NOUN	14	obj
17	bilaterales	ADJ	16	amod
18	con	ADP	19	case
19	representantes	NOUN	16	nmod
20	de	ADP	21	case
21	naciones	NOUN	19	nmod
22	con	ADP	24	case
23	las	DET	24	det
24	que	PRON	26	obl
25	Venezuela	PROPN	26	nsubj
26	tiene	VERB	21	acl
27	intereses	NOUN	26	obj
28	"	PUNCT	4	punct
29	,	PUNCT	4	punct
30	destacó	VERB	0	root
31	el	DET	32	det
32	mandatario	NOUN	30	nsubj
33	.	PUNCT	30	punct