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:
"Vemos esta conferencia como un paso clave en la organización de un amplio apoyo al presidente de Colombia, Andrés Pastrana y a los colombianos", dijo Boucher.
Postion	Tokenization
1	"
2	Vemos
3	esta
4	conferencia
5	como
6	un
7	paso
8	clave
9	en
10	la
11	organización
12	de
13	un
14	amplio
15	apoyo
16	al
17	presidente
18	de
19	Colombia
20	,
21	Andrés
22	Pastrana
23	y
24	a
25	los
26	colombianos
27	"
28	,
29	dijo
30	Boucher
31	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Vemos	VERB	29	ccomp
3	esta	DET	4	det
4	conferencia	NOUN	2	obj
5	como	SCONJ	7	mark
6	un	DET	7	det
7	paso	NOUN	2	obj
8	clave	NOUN	7	nmod
9	en	ADP	11	case
10	la	DET	11	det
11	organización	NOUN	7	nmod
12	de	ADP	15	case
13	un	DET	15	det
14	amplio	ADJ	15	amod
15	apoyo	NOUN	11	nmod
16	al	ADP	17	case
17	presidente	NOUN	15	nmod
18	de	ADP	19	case
19	Colombia	PROPN	17	nmod
20	,	PUNCT	21	punct
21	Andrés	PROPN	17	appos
22	Pastrana	PROPN	21	flat
23	y	CCONJ	26	cc
24	a	ADP	26	case
25	los	DET	26	det
26	colombianos	NOUN	17	conj
27	"	PUNCT	2	punct
28	,	PUNCT	2	punct
29	dijo	VERB	0	root
30	Boucher	PROPN	29	nsubj
31	.	PUNCT	29	punct