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 no incluye las cargas excepcionales relacionadas con el accidente del petrolero Erika, por valor de 183.024 millones de pesetas, ni ingresos por plusvalías de 49.915 millones.
Postion	Tokenization
1	El
2	beneficio
3	no
4	incluye
5	las
6	cargas
7	excepcionales
8	relacionadas
9	con
10	el
11	accidente
12	del
13	petrolero
14	Erika
15	,
16	por
17	valor
18	de
19	183.024
20	millones
21	de
22	pesetas
23	,
24	ni
25	ingresos
26	por
27	plusvalías
28	de
29	49.915
30	millones
31	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	beneficio	NOUN	4	nsubj
3	no	ADV	4	advmod
4	incluye	VERB	0	root
5	las	DET	6	det
6	cargas	NOUN	4	obj
7	excepcionales	ADJ	6	amod
8	relacionadas	ADJ	6	amod
9	con	ADP	11	case
10	el	DET	11	det
11	accidente	NOUN	8	obj
12	del	ADP	13	case
13	petrolero	NOUN	11	nmod
14	Erika	PROPN	13	appos
15	,	PUNCT	17	punct
16	por	ADP	17	case
17	valor	NOUN	6	nmod
18	de	ADP	20	case
19	183.024	NUM	20	nummod
20	millones	NOUN	17	nmod
21	de	ADP	22	case
22	pesetas	NOUN	20	nmod
23	,	PUNCT	17	punct
24	ni	CCONJ	25	cc
25	ingresos	NOUN	6	conj
26	por	ADP	27	case
27	plusvalías	NOUN	25	nmod
28	de	ADP	30	case
29	49.915	NUM	30	nummod
30	millones	NOUN	27	nmod
31	.	PUNCT	4	punct