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:
Hoy, 20 años después, preside Natura Bissé, una empresa sólida con una facturación que ronda los 2.000 millones de pesetas y un marcado carácter internacional: está presente en 24 países.
Postion	Tokenization
1	Hoy
2	,
3	20
4	años
5	después
6	,
7	preside
8	Natura
9	Bissé
10	,
11	una
12	empresa
13	sólida
14	con
15	una
16	facturación
17	que
18	ronda
19	los
20	2.000
21	millones
22	de
23	pesetas
24	y
25	un
26	marcado
27	carácter
28	internacional
29	:
30	está
31	presente
32	en
33	24
34	países
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Hoy	ADV	7	advmod
2	,	PUNCT	5	punct
3	20	NUM	4	nummod
4	años	NOUN	5	obl
5	después	ADV	1	advmod
6	,	PUNCT	5	punct
7	preside	VERB	0	root
8	Natura	PROPN	7	obj
9	Bissé	PROPN	8	flat
10	,	PUNCT	12	punct
11	una	DET	12	det
12	empresa	NOUN	8	appos
13	sólida	ADJ	12	amod
14	con	ADP	16	case
15	una	DET	16	det
16	facturación	NOUN	12	nmod
17	que	PRON	18	nsubj
18	ronda	VERB	16	acl
19	los	DET	20	det
20	2.000	NUM	21	nummod
21	millones	NOUN	18	obj
22	de	ADP	23	case
23	pesetas	NOUN	21	nmod
24	y	CCONJ	27	cc
25	un	DET	27	det
26	marcado	ADJ	27	amod
27	carácter	NOUN	16	conj
28	internacional	ADJ	27	amod
29	:	PUNCT	30	punct
30	está	VERB	27	acl
31	presente	ADJ	30	obj
32	en	ADP	34	case
33	24	NUM	34	nummod
34	países	NOUN	31	nmod
35	.	PUNCT	7	punct