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 borrador del documento que la Comisión Europea estudiará el miércoles indica que el empleo de la energía nuclear ha permitido ahorrarse la emisión de 800 millones de toneladas de dióxido de carbono en 1998.
Postion	Tokenization
1	El
2	borrador
3	del
4	documento
5	que
6	la
7	Comisión
8	Europea
9	estudiará
10	el
11	miércoles
12	indica
13	que
14	el
15	empleo
16	de
17	la
18	energía
19	nuclear
20	ha
21	permitido
22	ahorrarse
23	ahorrar
24	se
25	la
26	emisión
27	de
28	800
29	millones
30	de
31	toneladas
32	de
33	dióxido
34	de
35	carbono
36	en
37	1998
38	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	borrador	NOUN	12	nsubj
3	del	ADP	4	case
4	documento	NOUN	2	nmod
5	que	PRON	9	obj
6	la	DET	7	det
7	Comisión	PROPN	9	nsubj
8	Europea	PROPN	7	flat
9	estudiará	VERB	2	acl
10	el	DET	11	det
11	miércoles	NOUN	9	obl
12	indica	VERB	0	root
13	que	SCONJ	21	mark
14	el	DET	15	det
15	empleo	NOUN	21	nsubj
16	de	ADP	18	case
17	la	DET	18	det
18	energía	NOUN	15	nmod
19	nuclear	ADJ	18	amod
20	ha	AUX	21	aux
21	permitido	VERB	12	ccomp
22	ahorrarse	_	None	_
23	ahorrar	VERB	21	xcomp
24	se	PRON	22	iobj
25	la	DET	25	det
26	emisión	NOUN	22	obj
27	de	ADP	28	case
28	800	NUM	28	nummod
29	millones	NOUN	25	nmod
30	de	ADP	30	case
31	toneladas	NOUN	28	nmod
32	de	ADP	32	case
33	dióxido	NOUN	28	nmod
34	de	ADP	34	case
35	carbono	NOUN	32	nmod
36	en	ADP	36	case
37	1998	NOUN	22	obl
38	.	PUNCT	12	punct