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:
Los otros canales de distribución han aumentado su volumen de negocio un 14,3 por ciento respecto al año anterior, situándose en 75.412 millones de pesetas.
Postion	Tokenization
1	Los
2	otros
3	canales
4	de
5	distribución
6	han
7	aumentado
8	su
9	volumen
10	de
11	negocio
12	un
13	14,3
14	por
15	ciento
16	respecto
17	al
18	año
19	anterior
20	,
21	situándose
22	situando
23	se
24	en
25	75.412
26	millones
27	de
28	pesetas
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	3	det
2	otros	DET	1	det
3	canales	NOUN	7	nsubj
4	de	ADP	5	case
5	distribución	NOUN	3	nmod
6	han	AUX	7	aux
7	aumentado	VERB	0	root
8	su	DET	9	det
9	volumen	NOUN	7	obj
10	de	ADP	11	case
11	negocio	NOUN	9	nmod
12	un	DET	13	det
13	14,3	NUM	7	obl
14	por	ADP	15	case
15	ciento	NUM	13	compound
16	respecto	NOUN	18	case
17	al	ADP	16	fixed
18	año	NOUN	13	nmod
19	anterior	ADJ	18	amod
20	,	PUNCT	21	punct
21	situándose	_	None	_
22	situando	VERB	7	advcl
23	se	PRON	21	expl:pv
24	en	ADP	25	case
25	75.412	NUM	25	nummod
26	millones	NOUN	21	obj
27	de	ADP	27	case
28	pesetas	NOUN	25	nmod
29	.	PUNCT	7	punct