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 volumen de facturación ascendió a 139 millones de pesetas en 1998, año en el que perdió más de seis millones de pesetas (últimos datos conocidos).
Postion	Tokenization
1	El
2	volumen
3	de
4	facturación
5	ascendió
6	a
7	139
8	millones
9	de
10	pesetas
11	en
12	1998
13	,
14	año
15	en
16	el
17	que
18	perdió
19	más
20	de
21	seis
22	millones
23	de
24	pesetas
25	(
26	últimos
27	datos
28	conocidos
29	)
30	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	volumen	NOUN	5	nsubj
3	de	ADP	4	case
4	facturación	NOUN	2	nmod
5	ascendió	VERB	0	root
6	a	ADP	8	case
7	139	NUM	8	nummod
8	millones	NOUN	5	obl
9	de	ADP	10	case
10	pesetas	NOUN	8	nmod
11	en	ADP	12	case
12	1998	NOUN	5	obl
13	,	PUNCT	14	punct
14	año	NOUN	12	appos
15	en	ADP	17	case
16	el	DET	17	det
17	que	PRON	18	obl
18	perdió	VERB	14	acl
19	más	ADV	22	advmod
20	de	ADP	19	case
21	seis	NUM	19	nummod
22	millones	NOUN	18	obj
23	de	ADP	24	case
24	pesetas	NOUN	22	nmod
25	(	PUNCT	27	punct
26	últimos	ADJ	27	amod
27	datos	NOUN	22	appos
28	conocidos	ADJ	27	amod
29	)	PUNCT	27	punct
30	.	PUNCT	5	punct