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 Libro Verde sobre cómo suministrar energía a la Unión Europea durante las próximas décadas recomienda la energía nuclear como una solución al cambio climático", asegura la organización.
Postion	Tokenization
1	"
2	El
3	Libro
4	Verde
5	sobre
6	cómo
7	suministrar
8	energía
9	a
10	la
11	Unión
12	Europea
13	durante
14	las
15	próximas
16	décadas
17	recomienda
18	la
19	energía
20	nuclear
21	como
22	una
23	solución
24	al
25	cambio
26	climático
27	"
28	,
29	asegura
30	la
31	organización
32	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	17	punct
2	El	DET	3	det
3	Libro	PROPN	17	nsubj
4	Verde	PROPN	3	flat
5	sobre	ADP	7	mark
6	cómo	PRON	7	obl
7	suministrar	VERB	3	acl
8	energía	NOUN	7	obj
9	a	ADP	11	case
10	la	DET	11	det
11	Unión	PROPN	7	obj
12	Europea	PROPN	11	flat
13	durante	ADP	16	case
14	las	DET	16	det
15	próximas	ADJ	16	amod
16	décadas	NOUN	7	obl
17	recomienda	VERB	29	ccomp
18	la	DET	19	det
19	energía	NOUN	17	obj
20	nuclear	ADJ	19	amod
21	como	SCONJ	23	mark
22	una	DET	23	det
23	solución	NOUN	19	nmod
24	al	ADP	25	case
25	cambio	NOUN	23	nmod
26	climático	ADJ	25	amod
27	"	PUNCT	17	punct
28	,	PUNCT	17	punct
29	asegura	VERB	0	root
30	la	DET	31	det
31	organización	NOUN	29	nsubj
32	.	PUNCT	29	punct