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:
Una delegación del Parlamento Europeo recibió hoy de las autoridades venezolanas información de primera mano sobre el desastre natural de diciembre pasado, con el fin de orientar los futuros proyectos de reconstrucción.
Postion	Tokenization
1	Una
2	delegación
3	del
4	Parlamento
5	Europeo
6	recibió
7	hoy
8	de
9	las
10	autoridades
11	venezolanas
12	información
13	de
14	primera
15	mano
16	sobre
17	el
18	desastre
19	natural
20	de
21	diciembre
22	pasado
23	,
24	con
25	el
26	fin
27	de
28	orientar
29	los
30	futuros
31	proyectos
32	de
33	reconstrucción
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Una	DET	2	det
2	delegación	NOUN	6	nsubj
3	del	ADP	4	case
4	Parlamento	PROPN	2	nmod
5	Europeo	PROPN	4	flat
6	recibió	VERB	0	root
7	hoy	ADV	6	advmod
8	de	ADP	10	case
9	las	DET	10	det
10	autoridades	NOUN	6	obl
11	venezolanas	ADJ	10	amod
12	información	NOUN	6	obj
13	de	ADP	15	case
14	primera	ADJ	15	amod
15	mano	NOUN	12	nmod
16	sobre	ADP	18	case
17	el	DET	18	det
18	desastre	NOUN	12	nmod
19	natural	ADJ	18	amod
20	de	ADP	21	case
21	diciembre	NOUN	18	nmod
22	pasado	ADJ	21	amod
23	,	PUNCT	26	punct
24	con	ADP	26	case
25	el	DET	26	det
26	fin	NOUN	6	obl
27	de	ADP	28	mark
28	orientar	VERB	26	acl
29	los	DET	31	det
30	futuros	ADJ	31	amod
31	proyectos	NOUN	28	obj
32	de	ADP	33	case
33	reconstrucción	NOUN	31	nmod
34	.	PUNCT	6	punct