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:
Por esa razón, el Libro Verde propondrá el apoyo a la investigación sobre el almacenamiento de residuos procedentes de la explotación de la energía nuclear y la gestión de los combustibles empleados.
Postion	Tokenization
1	Por
2	esa
3	razón
4	,
5	el
6	Libro
7	Verde
8	propondrá
9	el
10	apoyo
11	a
12	la
13	investigación
14	sobre
15	el
16	almacenamiento
17	de
18	residuos
19	procedentes
20	de
21	la
22	explotación
23	de
24	la
25	energía
26	nuclear
27	y
28	la
29	gestión
30	de
31	los
32	combustibles
33	empleados
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	3	case
2	esa	DET	3	det
3	razón	NOUN	8	obl
4	,	PUNCT	3	punct
5	el	DET	6	det
6	Libro	PROPN	8	nsubj
7	Verde	PROPN	6	flat
8	propondrá	VERB	0	root
9	el	DET	10	det
10	apoyo	NOUN	8	obj
11	a	ADP	13	case
12	la	DET	13	det
13	investigación	NOUN	10	nmod
14	sobre	ADP	16	case
15	el	DET	16	det
16	almacenamiento	NOUN	13	nmod
17	de	ADP	18	case
18	residuos	NOUN	16	nmod
19	procedentes	ADJ	18	amod
20	de	ADP	22	case
21	la	DET	22	det
22	explotación	NOUN	19	nmod
23	de	ADP	25	case
24	la	DET	25	det
25	energía	NOUN	22	nmod
26	nuclear	ADJ	25	amod
27	y	CCONJ	29	cc
28	la	DET	29	det
29	gestión	NOUN	16	conj
30	de	ADP	32	case
31	los	DET	32	det
32	combustibles	NOUN	29	nmod
33	empleados	ADJ	32	amod
34	.	PUNCT	8	punct