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:
Cuba envió varias brigadas de socorristas a Venezuela para colaborar en las labores de rescate y atención a los miles de damnificados que dejaron las catastróficas lluvias caídas en diciembre.
Postion	Tokenization
1	Cuba
2	envió
3	varias
4	brigadas
5	de
6	socorristas
7	a
8	Venezuela
9	para
10	colaborar
11	en
12	las
13	labores
14	de
15	rescate
16	y
17	atención
18	a
19	los
20	miles
21	de
22	damnificados
23	que
24	dejaron
25	las
26	catastróficas
27	lluvias
28	caídas
29	en
30	diciembre
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Cuba	PROPN	2	nsubj
2	envió	VERB	0	root
3	varias	DET	4	det
4	brigadas	NOUN	2	obj
5	de	ADP	6	case
6	socorristas	NOUN	4	nmod
7	a	ADP	8	case
8	Venezuela	PROPN	2	obl
9	para	ADP	10	mark
10	colaborar	VERB	2	advcl
11	en	ADP	13	case
12	las	DET	13	det
13	labores	NOUN	10	obj
14	de	ADP	15	case
15	rescate	NOUN	13	nmod
16	y	CCONJ	17	cc
17	atención	NOUN	15	conj
18	a	ADP	20	case
19	los	DET	20	det
20	miles	NUM	17	nummod
21	de	ADP	22	case
22	damnificados	NOUN	20	nmod
23	que	PRON	24	obj
24	dejaron	VERB	20	advcl
25	las	DET	27	det
26	catastróficas	ADJ	27	amod
27	lluvias	NOUN	24	nsubj
28	caídas	ADJ	27	amod
29	en	ADP	30	case
30	diciembre	NOUN	24	obl
31	.	PUNCT	2	punct