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 directivo explicó que estos costes se repercutirán progresivamente en los de Aventis, de forma que supondrán casi 36.000 millones de pesetas en 1999, unos 100.000 en el 2000 y 171.600 en el 2001.
Postion	Tokenization
1	El
2	directivo
3	explicó
4	que
5	estos
6	costes
7	se
8	repercutirán
9	progresivamente
10	en
11	los
12	de
13	Aventis
14	,
15	de
16	forma
17	que
18	supondrán
19	casi
20	36.000
21	millones
22	de
23	pesetas
24	en
25	1999
26	,
27	unos
28	100.000
29	en
30	el
31	2000
32	y
33	171.600
34	en
35	el
36	2001
37	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	directivo	NOUN	3	nsubj
3	explicó	VERB	0	root
4	que	SCONJ	8	mark
5	estos	DET	6	det
6	costes	NOUN	8	nsubj
7	se	PRON	8	expl:pv
8	repercutirán	VERB	3	ccomp
9	progresivamente	ADV	8	advmod
10	en	ADP	11	case
11	los	DET	8	det
12	de	ADP	11	case
13	Aventis	PROPN	11	obl
14	,	PUNCT	18	punct
15	de	ADP	18	mark
16	forma	NOUN	15	fixed
17	que	SCONJ	15	fixed
18	supondrán	VERB	8	advcl
19	casi	ADV	21	advmod
20	36.000	NUM	19	nummod
21	millones	NOUN	18	obj
22	de	ADP	23	case
23	pesetas	NOUN	21	nmod
24	en	ADP	25	case
25	1999	NOUN	21	nmod
26	,	PUNCT	28	punct
27	unos	DET	28	det
28	100.000	NUM	21	appos
29	en	ADP	31	case
30	el	DET	31	det
31	2000	NOUN	28	nmod
32	y	CCONJ	33	cc
33	171.600	NUM	21	conj
34	en	ADP	36	case
35	el	DET	36	det
36	2001	NOUN	33	nmod
37	.	PUNCT	3	punct