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 OCDE prevé que el crecimiento de la economía mundial, que fue del 3,1 por ciento el pasado año, se acelerará hasta el 4,3 por ciento en el 2000 y se ralentizará al 3,8 por ciento al año siguiente.
Postion	Tokenization
1	La
2	OCDE
3	prevé
4	que
5	el
6	crecimiento
7	de
8	la
9	economía
10	mundial
11	,
12	que
13	fue
14	del
15	3,1
16	por
17	ciento
18	el
19	pasado
20	año
21	,
22	se
23	acelerará
24	hasta
25	el
26	4,3
27	por
28	ciento
29	en
30	el
31	2000
32	y
33	se
34	ralentizará
35	al
36	3,8
37	por
38	ciento
39	al
40	año
41	siguiente
42	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	OCDE	PROPN	3	nsubj
3	prevé	VERB	0	root
4	que	SCONJ	23	mark
5	el	DET	6	det
6	crecimiento	NOUN	23	nsubj
7	de	ADP	9	case
8	la	DET	9	det
9	economía	NOUN	6	nmod
10	mundial	ADJ	9	amod
11	,	PUNCT	15	punct
12	que	PRON	15	nsubj
13	fue	AUX	15	cop
14	del	ADP	15	case
15	3,1	NUM	6	acl
16	por	ADP	17	case
17	ciento	NUM	15	compound
18	el	DET	20	det
19	pasado	ADJ	20	amod
20	año	NOUN	15	obl
21	,	PUNCT	15	punct
22	se	PRON	23	expl:pv
23	acelerará	VERB	3	ccomp
24	hasta	ADP	26	case
25	el	DET	26	det
26	4,3	NUM	23	obl
27	por	ADP	28	case
28	ciento	NUM	26	compound
29	en	ADP	31	case
30	el	DET	31	det
31	2000	NOUN	23	obl
32	y	CCONJ	34	cc
33	se	PRON	34	expl:pv
34	ralentizará	VERB	23	conj
35	al	ADP	36	case
36	3,8	NUM	34	obl
37	por	ADP	38	case
38	ciento	NUM	36	compound
39	al	ADP	40	case
40	año	NOUN	34	obl
41	siguiente	ADJ	40	amod
42	.	PUNCT	3	punct