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:
El titular de Comercio afirmó que el acuerdo será firmado por la presidenta panameña, Mireya Moscoso, y el presidente de Venezuela, Hugo Chávez.
Postion	Tokenization
1	El
2	titular
3	de
4	Comercio
5	afirmó
6	que
7	el
8	acuerdo
9	será
10	firmado
11	por
12	la
13	presidenta
14	panameña
15	,
16	Mireya
17	Moscoso
18	,
19	y
20	el
21	presidente
22	de
23	Venezuela
24	,
25	Hugo
26	Chávez
27	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	titular	NOUN	5	nsubj
3	de	ADP	4	case
4	Comercio	PROPN	2	nmod
5	afirmó	VERB	0	root
6	que	SCONJ	10	mark
7	el	DET	8	det
8	acuerdo	NOUN	10	nsubj
9	será	AUX	10	aux
10	firmado	VERB	5	ccomp
11	por	ADP	13	case
12	la	DET	13	det
13	presidenta	NOUN	10	obj
14	panameña	ADJ	13	amod
15	,	PUNCT	16	punct
16	Mireya	PROPN	13	appos
17	Moscoso	PROPN	16	flat
18	,	PUNCT	16	punct
19	y	CCONJ	21	cc
20	el	DET	21	det
21	presidente	NOUN	13	conj
22	de	ADP	23	case
23	Venezuela	PROPN	21	nmod
24	,	PUNCT	25	punct
25	Hugo	PROPN	21	appos
26	Chávez	PROPN	25	flat
27	.	PUNCT	5	punct