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:
El Producto Interior Bruto (PIB) en el conjunto de los once países del euro aumentará un 3,5 por ciento este ejercicio y un 3,3 por ciento en el 2001, y la tasa de paro caerá del 10,1 por ciento en 1999 al 9,2 por ciento este año y al 8,5 por ciento el próximo.
Postion	Tokenization
1	El
2	Producto
3	Interior
4	Bruto
5	(
6	PIB
7	)
8	en
9	el
10	conjunto
11	de
12	los
13	once
14	países
15	del
16	euro
17	aumentará
18	un
19	3,5
20	por
21	ciento
22	este
23	ejercicio
24	y
25	un
26	3,3
27	por
28	ciento
29	en
30	el
31	2001
32	,
33	y
34	la
35	tasa
36	de
37	paro
38	caerá
39	del
40	10,1
41	por
42	ciento
43	en
44	1999
45	al
46	9,2
47	por
48	ciento
49	este
50	año
51	y
52	al
53	8,5
54	por
55	ciento
56	el
57	próximo
58	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Producto	PROPN	17	nsubj
3	Interior	PROPN	2	flat
4	Bruto	PROPN	2	flat
5	(	PUNCT	6	punct
6	PIB	PROPN	2	flat
7	)	PUNCT	6	punct
8	en	ADP	10	case
9	el	DET	10	det
10	conjunto	NOUN	17	obl
11	de	ADP	14	case
12	los	DET	14	det
13	once	NUM	12	nummod
14	países	NOUN	10	nmod
15	del	ADP	16	case
16	euro	NOUN	14	nmod
17	aumentará	VERB	0	root
18	un	DET	19	det
19	3,5	NUM	17	obj
20	por	ADP	21	case
21	ciento	NUM	19	compound
22	este	DET	23	det
23	ejercicio	NOUN	17	obl
24	y	CCONJ	26	cc
25	un	DET	26	det
26	3,3	NUM	23	conj
27	por	ADP	28	case
28	ciento	NUM	26	compound
29	en	ADP	31	case
30	el	DET	31	det
31	2001	NOUN	26	nmod
32	,	PUNCT	38	punct
33	y	CCONJ	38	cc
34	la	DET	35	det
35	tasa	NOUN	38	nsubj
36	de	ADP	37	case
37	paro	NOUN	35	nmod
38	caerá	VERB	17	conj
39	del	ADP	40	case
40	10,1	NUM	38	obl
41	por	ADP	42	case
42	ciento	NUM	40	compound
43	en	ADP	44	case
44	1999	NOUN	38	obl
45	al	ADP	46	case
46	9,2	NUM	38	obl
47	por	ADP	48	case
48	ciento	NUM	46	compound
49	este	DET	50	det
50	año	NOUN	38	obl
51	y	CCONJ	57	cc
52	al	ADP	53	case
53	8,5	NUM	57	nummod
54	por	ADP	55	case
55	ciento	NUM	53	compound
56	el	DET	57	det
57	próximo	ADJ	38	conj
58	.	PUNCT	17	punct