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:
La funcionaria lamentó el asesinato, la semana pasada, de un conductor venezolano y el incendio de su vehículo en territorio colombiano en un hecho que fue atribuido a rebeldes del Ejército de Liberación Nacional (ELN).
Postion	Tokenization
1	La
2	funcionaria
3	lamentó
4	el
5	asesinato
6	,
7	la
8	semana
9	pasada
10	,
11	de
12	un
13	conductor
14	venezolano
15	y
16	el
17	incendio
18	de
19	su
20	vehículo
21	en
22	territorio
23	colombiano
24	en
25	un
26	hecho
27	que
28	fue
29	atribuido
30	a
31	rebeldes
32	del
33	Ejército
34	de
35	Liberación
36	Nacional
37	(
38	ELN
39	)
40	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	funcionaria	NOUN	3	nsubj
3	lamentó	VERB	0	root
4	el	DET	5	det
5	asesinato	NOUN	3	obj
6	,	PUNCT	8	punct
7	la	DET	8	det
8	semana	NOUN	5	appos
9	pasada	ADJ	8	amod
10	,	PUNCT	8	punct
11	de	ADP	13	case
12	un	DET	13	det
13	conductor	NOUN	5	nmod
14	venezolano	ADJ	13	amod
15	y	CCONJ	17	cc
16	el	DET	17	det
17	incendio	NOUN	5	conj
18	de	ADP	20	case
19	su	DET	20	det
20	vehículo	NOUN	17	nmod
21	en	ADP	22	case
22	territorio	NOUN	17	nmod
23	colombiano	ADJ	22	amod
24	en	ADP	26	case
25	un	DET	26	det
26	hecho	NOUN	3	obl
27	que	PRON	29	nsubj
28	fue	AUX	29	aux
29	atribuido	VERB	26	acl
30	a	ADP	31	case
31	rebeldes	NOUN	29	obj
32	del	ADP	33	case
33	Ejército	PROPN	31	nmod
34	de	ADP	35	case
35	Liberación	PROPN	33	flat
36	Nacional	PROPN	35	flat
37	(	PUNCT	38	punct
38	ELN	PROPN	33	flat
39	)	PUNCT	38	punct
40	.	PUNCT	3	punct