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:
"Conversamos sobre las expectativas de la Cumbre OPEP de Caracas, en la que contaremos con la presencia de los presidentes de Argelia y Nigeria", acotó.
Postion	Tokenization
1	"
2	Conversamos
3	sobre
4	las
5	expectativas
6	de
7	la
8	Cumbre
9	OPEP
10	de
11	Caracas
12	,
13	en
14	la
15	que
16	contaremos
17	con
18	la
19	presencia
20	de
21	los
22	presidentes
23	de
24	Argelia
25	y
26	Nigeria
27	"
28	,
29	acotó
30	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Conversamos	VERB	29	ccomp
3	sobre	ADP	5	case
4	las	DET	5	det
5	expectativas	NOUN	2	obj
6	de	ADP	8	case
7	la	DET	8	det
8	Cumbre	PROPN	5	nmod
9	OPEP	PROPN	8	flat
10	de	ADP	11	case
11	Caracas	PROPN	8	nmod
12	,	PUNCT	16	punct
13	en	ADP	15	case
14	la	DET	15	det
15	que	PRON	16	obl
16	contaremos	VERB	8	acl
17	con	ADP	19	case
18	la	DET	19	det
19	presencia	NOUN	16	obj
20	de	ADP	22	case
21	los	DET	22	det
22	presidentes	NOUN	19	nmod
23	de	ADP	24	case
24	Argelia	PROPN	22	nmod
25	y	CCONJ	26	cc
26	Nigeria	PROPN	24	conj
27	"	PUNCT	2	punct
28	,	PUNCT	2	punct
29	acotó	VERB	0	root
30	.	PUNCT	29	punct