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:
Tras pasar unos años en número rojos, la empresa volvió al equilibrio el pasado ejercicio y retomó la senda del crecimiento, con una facturación de 6.500 millones de pesetas y un alza interanual del 30%.
Postion	Tokenization
1	Tras
2	pasar
3	unos
4	años
5	en
6	número
7	rojos
8	,
9	la
10	empresa
11	volvió
12	al
13	equilibrio
14	el
15	pasado
16	ejercicio
17	y
18	retomó
19	la
20	senda
21	del
22	crecimiento
23	,
24	con
25	una
26	facturación
27	de
28	6.500
29	millones
30	de
31	pesetas
32	y
33	un
34	alza
35	interanual
36	del
37	30%
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Tras	ADP	2	mark
2	pasar	VERB	11	advcl
3	unos	DET	4	det
4	años	NOUN	2	obj
5	en	ADP	6	case
6	número	NOUN	2	obl
7	rojos	ADJ	6	amod
8	,	PUNCT	2	punct
9	la	DET	10	det
10	empresa	NOUN	11	nsubj
11	volvió	VERB	0	root
12	al	ADP	13	case
13	equilibrio	NOUN	11	obl
14	el	DET	16	det
15	pasado	ADJ	16	amod
16	ejercicio	NOUN	11	obl
17	y	CCONJ	18	cc
18	retomó	VERB	11	conj
19	la	DET	20	det
20	senda	NOUN	18	obj
21	del	ADP	22	case
22	crecimiento	NOUN	20	nmod
23	,	PUNCT	26	punct
24	con	ADP	26	case
25	una	DET	26	det
26	facturación	NOUN	18	obl
27	de	ADP	29	case
28	6.500	NUM	29	nummod
29	millones	NOUN	26	nmod
30	de	ADP	31	case
31	pesetas	NOUN	29	nmod
32	y	CCONJ	34	cc
33	un	DET	34	det
34	alza	NOUN	26	conj
35	interanual	ADJ	34	amod
36	del	ADP	37	case
37	30%	SYM	34	nmod
38	.	PUNCT	11	punct