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:
Catalunya crecerá en el 2000 igual que en el año en curso, el 3,9%, pero con menos impulso del consumo y más peso de las exportaciones.
Postion	Tokenization
1	Catalunya
2	crecerá
3	en
4	el
5	2000
6	igual
7	que
8	en
9	el
10	año
11	en
12	curso
13	,
14	el
15	3,9%
16	,
17	pero
18	con
19	menos
20	impulso
21	del
22	consumo
23	y
24	más
25	peso
26	de
27	las
28	exportaciones
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Catalunya	PROPN	2	nsubj
2	crecerá	VERB	0	root
3	en	ADP	5	case
4	el	DET	5	det
5	2000	NOUN	2	obl
6	igual	ADV	2	advmod
7	que	SCONJ	10	mark
8	en	ADP	10	case
9	el	DET	10	det
10	año	NOUN	6	obl
11	en	ADP	12	case
12	curso	NOUN	10	nmod
13	,	PUNCT	15	punct
14	el	DET	15	det
15	3,9%	SYM	2	advmod
16	,	PUNCT	15	punct
17	pero	CCONJ	20	cc
18	con	ADP	20	case
19	menos	ADV	20	advmod
20	impulso	NOUN	2	conj
21	del	ADP	22	case
22	consumo	NOUN	20	nmod
23	y	CCONJ	25	cc
24	más	ADV	25	advmod
25	peso	NOUN	20	conj
26	de	ADP	28	case
27	las	DET	28	det
28	exportaciones	NOUN	25	nmod
29	.	PUNCT	2	punct