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:
La parte de negocio que corresponde al comercio tradicional se sitúa en 203.000 millones de pesetas, aumentando un 11,2 por ciento respecto a 1998.
Postion	Tokenization
1	La
2	parte
3	de
4	negocio
5	que
6	corresponde
7	al
8	comercio
9	tradicional
10	se
11	sitúa
12	en
13	203.000
14	millones
15	de
16	pesetas
17	,
18	aumentando
19	un
20	11,2
21	por
22	ciento
23	respecto
24	a
25	1998
26	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	parte	NOUN	11	nsubj
3	de	ADP	4	case
4	negocio	NOUN	2	nmod
5	que	PRON	6	nsubj
6	corresponde	VERB	2	acl
7	al	ADP	8	case
8	comercio	NOUN	6	obj
9	tradicional	ADJ	8	amod
10	se	PRON	11	expl:pv
11	sitúa	VERB	0	root
12	en	ADP	14	case
13	203.000	NUM	14	nummod
14	millones	NOUN	11	obj
15	de	ADP	16	case
16	pesetas	NOUN	14	nmod
17	,	PUNCT	18	punct
18	aumentando	VERB	11	advcl
19	un	DET	20	det
20	11,2	NUM	18	obj
21	por	ADP	22	case
22	ciento	NUM	20	compound
23	respecto	NOUN	25	case
24	a	ADP	23	fixed
25	1998	NOUN	20	nmod
26	.	PUNCT	11	punct