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 consorcio Telia facturó en 1999 por 52.100 millones de coronas (5.788 millones de dólares), y sus beneficios brutos ascendieron a 6.000 millones de coronas (666 millones de dólares).
Postion	Tokenization
1	El
2	consorcio
3	Telia
4	facturó
5	en
6	1999
7	por
8	52.100
9	millones
10	de
11	coronas
12	(
13	5.788
14	millones
15	de
16	dólares
17	)
18	,
19	y
20	sus
21	beneficios
22	brutos
23	ascendieron
24	a
25	6.000
26	millones
27	de
28	coronas
29	(
30	666
31	millones
32	de
33	dólares
34	)
35	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	consorcio	NOUN	4	nsubj
3	Telia	PROPN	2	appos
4	facturó	VERB	0	root
5	en	ADP	6	case
6	1999	NOUN	4	obl
7	por	ADP	9	case
8	52.100	NUM	9	nummod
9	millones	NOUN	4	obl
10	de	ADP	11	case
11	coronas	NOUN	9	nmod
12	(	PUNCT	14	punct
13	5.788	NUM	14	nummod
14	millones	NOUN	9	appos
15	de	ADP	16	case
16	dólares	NOUN	14	nmod
17	)	PUNCT	14	punct
18	,	PUNCT	23	punct
19	y	CCONJ	23	cc
20	sus	DET	21	det
21	beneficios	NOUN	23	nsubj
22	brutos	ADJ	21	amod
23	ascendieron	VERB	4	conj
24	a	ADP	26	case
25	6.000	NUM	26	nummod
26	millones	NOUN	23	obj
27	de	ADP	28	case
28	coronas	NOUN	26	nmod
29	(	PUNCT	31	punct
30	666	NUM	31	nummod
31	millones	NOUN	26	appos
32	de	ADP	33	case
33	dólares	NOUN	31	nmod
34	)	PUNCT	31	punct
35	.	PUNCT	4	punct