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 beneficio neto atribuido al grupo alcanzó los 2.124 millones de pesetas, superior a los 1.876 millones registrados entre enero y marzo de 1998, según informó la entidad.
Postion	Tokenization
1	El
2	beneficio
3	neto
4	atribuido
5	al
6	grupo
7	alcanzó
8	los
9	2.124
10	millones
11	de
12	pesetas
13	,
14	superior
15	a
16	los
17	1.876
18	millones
19	registrados
20	entre
21	enero
22	y
23	marzo
24	de
25	1998
26	,
27	según
28	informó
29	la
30	entidad
31	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	beneficio	NOUN	7	nsubj
3	neto	ADJ	2	amod
4	atribuido	ADJ	2	amod
5	al	ADP	6	case
6	grupo	NOUN	4	obj
7	alcanzó	VERB	0	root
8	los	DET	9	det
9	2.124	NUM	10	nummod
10	millones	NOUN	7	obj
11	de	ADP	12	case
12	pesetas	NOUN	10	nmod
13	,	PUNCT	14	punct
14	superior	ADJ	10	amod
15	a	ADP	18	case
16	los	DET	17	det
17	1.876	NUM	18	nummod
18	millones	NOUN	14	nmod
19	registrados	ADJ	18	amod
20	entre	ADP	21	case
21	enero	NOUN	19	obl
22	y	CCONJ	23	cc
23	marzo	NOUN	21	conj
24	de	ADP	25	case
25	1998	NUM	23	compound
26	,	PUNCT	28	punct
27	según	SCONJ	28	mark
28	informó	VERB	7	advcl
29	la	DET	30	det
30	entidad	NOUN	28	nsubj
31	.	PUNCT	7	punct