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:
Di Pietro, tras reunirse con Rangel, manifestó su interés por conocer por qué y cómo ocurrió el desastre desatado por las lluvias de mediados de diciembre de 1999, que causó entre 25.000 y 50.000 muertos, más de 200.000 damnificados, además de multimillonarios daños, en el litoral central venezolano.
Postion	Tokenization
1	Di
2	Pietro
3	,
4	tras
5	reunirse
6	reunir
7	se
8	con
9	Rangel
10	,
11	manifestó
12	su
13	interés
14	por
15	conocer
16	por
17	qué
18	y
19	cómo
20	ocurrió
21	el
22	desastre
23	desatado
24	por
25	las
26	lluvias
27	de
28	mediados
29	de
30	diciembre
31	de
32	1999
33	,
34	que
35	causó
36	entre
37	25.000
38	y
39	50.000
40	muertos
41	,
42	más
43	de
44	200.000
45	damnificados
46	,
47	además
48	de
49	multimillonarios
50	daños
51	,
52	en
53	el
54	litoral
55	central
56	venezolano
57	.
Position	Tokenization	UPOS	Head	Deprel
1	Di	PROPN	10	nsubj
2	Pietro	PROPN	1	flat
3	,	PUNCT	5	punct
4	tras	ADP	5	mark
5	reunirse	_	None	_
6	reunir	VERB	10	advcl
7	se	PRON	5	expl:pv
8	con	ADP	8	case
9	Rangel	PROPN	5	obj
10	,	PUNCT	5	punct
11	manifestó	VERB	0	root
12	su	DET	12	det
13	interés	NOUN	10	obj
14	por	ADP	14	mark
15	conocer	VERB	12	acl
16	por	ADP	16	case
17	qué	PRON	19	obl
18	y	CCONJ	18	cc
19	cómo	PRON	16	conj
20	ocurrió	VERB	14	ccomp
21	el	DET	21	det
22	desastre	NOUN	19	nsubj
23	desatado	ADJ	21	amod
24	por	ADP	25	case
25	las	DET	25	det
26	lluvias	NOUN	22	obj
27	de	ADP	29	case
28	mediados	NOUN	26	fixed
29	de	ADP	26	fixed
30	diciembre	NOUN	25	nmod
31	de	ADP	31	case
32	1999	NUM	29	compound
33	,	PUNCT	34	punct
34	que	PRON	34	nsubj
35	causó	VERB	21	acl
36	entre	ADP	36	case
37	25.000	NUM	39	nummod
38	y	CCONJ	38	cc
39	50.000	NUM	36	conj
40	muertos	NOUN	34	obj
41	,	PUNCT	44	punct
42	más	ADV	44	advmod
43	de	ADP	41	case
44	200.000	NUM	41	nummod
45	damnificados	NOUN	39	appos
46	,	PUNCT	44	punct
47	además	ADV	49	cc
48	de	ADP	46	fixed
49	multimillonarios	ADJ	49	amod
50	daños	NOUN	39	conj
51	,	PUNCT	53	punct
52	en	ADP	53	case
53	el	DET	53	det
54	litoral	NOUN	49	nmod
55	central	ADJ	53	amod
56	venezolano	ADJ	53	amod
57	.	PUNCT	10	punct