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:
En sus inicios, Natura Bissé se limitó al canal de la estética en España: la empresa tiene actualmente 6.000 puntos de venta en salones de belleza.
Postion	Tokenization
1	En
2	sus
3	inicios
4	,
5	Natura
6	Bissé
7	se
8	limitó
9	al
10	canal
11	de
12	la
13	estética
14	en
15	España
16	:
17	la
18	empresa
19	tiene
20	actualmente
21	6.000
22	puntos
23	de
24	venta
25	en
26	salones
27	de
28	belleza
29	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	sus	DET	3	det
3	inicios	NOUN	8	obl
4	,	PUNCT	3	punct
5	Natura	PROPN	8	nsubj
6	Bissé	PROPN	5	flat
7	se	PRON	8	expl:pv
8	limitó	VERB	0	root
9	al	ADP	10	case
10	canal	NOUN	8	obj
11	de	ADP	13	case
12	la	DET	13	det
13	estética	NOUN	10	nmod
14	en	ADP	15	case
15	España	PROPN	10	nmod
16	:	PUNCT	19	punct
17	la	DET	18	det
18	empresa	NOUN	19	nsubj
19	tiene	VERB	8	advcl
20	actualmente	ADV	19	advmod
21	6.000	NUM	22	nummod
22	puntos	NOUN	19	obj
23	de	ADP	24	case
24	venta	NOUN	22	nmod
25	en	ADP	26	case
26	salones	NOUN	22	nmod
27	de	ADP	28	case
28	belleza	NOUN	26	nmod
29	.	PUNCT	8	punct