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:
Venezuela argumentó, para la adopción de las medidas, la inseguridad a la que están expuestos los transportistas en Colombia causada por la guerrilla, el narcotráfico y los paramilitares.
Postion	Tokenization
1	Venezuela
2	argumentó
3	,
4	para
5	la
6	adopción
7	de
8	las
9	medidas
10	,
11	la
12	inseguridad
13	a
14	la
15	que
16	están
17	expuestos
18	los
19	transportistas
20	en
21	Colombia
22	causada
23	por
24	la
25	guerrilla
26	,
27	el
28	narcotráfico
29	y
30	los
31	paramilitares
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Venezuela	PROPN	2	nsubj
2	argumentó	VERB	0	root
3	,	PUNCT	6	punct
4	para	ADP	6	case
5	la	DET	6	det
6	adopción	NOUN	2	obl
7	de	ADP	9	case
8	las	DET	9	det
9	medidas	NOUN	6	nmod
10	,	PUNCT	6	punct
11	la	DET	12	det
12	inseguridad	NOUN	2	obj
13	a	ADP	15	case
14	la	DET	15	det
15	que	PRON	17	obj
16	están	AUX	17	cop
17	expuestos	ADJ	12	acl
18	los	DET	19	det
19	transportistas	NOUN	17	nsubj
20	en	ADP	21	case
21	Colombia	PROPN	17	obl
22	causada	ADJ	12	amod
23	por	ADP	25	case
24	la	DET	25	det
25	guerrilla	NOUN	22	obj
26	,	PUNCT	28	punct
27	el	DET	28	det
28	narcotráfico	NOUN	25	appos
29	y	CCONJ	31	cc
30	los	DET	31	det
31	paramilitares	ADJ	25	conj
32	.	PUNCT	2	punct