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:
Descontados ingresos extraordinarios, provisiones y el impacto negativo de los resultados de la filial Terra, los beneficios netos hubiesen aumentado el 27,2%, porcentaje superior al conseguido por otras operadoras europeas.
Postion	Tokenization
1	Descontados
2	ingresos
3	extraordinarios
4	,
5	provisiones
6	y
7	el
8	impacto
9	negativo
10	de
11	los
12	resultados
13	de
14	la
15	filial
16	Terra
17	,
18	los
19	beneficios
20	netos
21	hubiesen
22	aumentado
23	el
24	27,2%
25	,
26	porcentaje
27	superior
28	al
29	conseguido
30	por
31	otras
32	operadoras
33	europeas
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Descontados	VERB	22	advcl
2	ingresos	NOUN	1	nsubj
3	extraordinarios	ADJ	2	amod
4	,	PUNCT	5	punct
5	provisiones	NOUN	2	appos
6	y	CCONJ	8	cc
7	el	DET	8	det
8	impacto	NOUN	2	conj
9	negativo	ADJ	8	amod
10	de	ADP	12	case
11	los	DET	12	det
12	resultados	NOUN	8	nmod
13	de	ADP	15	case
14	la	DET	15	det
15	filial	NOUN	12	nmod
16	Terra	PROPN	15	appos
17	,	PUNCT	1	punct
18	los	DET	19	det
19	beneficios	NOUN	22	nsubj
20	netos	ADJ	19	amod
21	hubiesen	AUX	22	aux
22	aumentado	VERB	0	root
23	el	DET	24	det
24	27,2%	SYM	22	obj
25	,	PUNCT	26	punct
26	porcentaje	NOUN	24	appos
27	superior	ADJ	26	amod
28	al	ADP	29	mark
29	conseguido	VERB	27	acl
30	por	ADP	32	case
31	otras	DET	32	det
32	operadoras	NOUN	29	obj
33	europeas	ADJ	32	amod
34	.	PUNCT	22	punct