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 coordinador de IU-LV-CA informó de que más del 90 por ciento del consumo corresponde a energías no renovables e importadas, lo que supone, según sus cifras, un gasto anual de medio billón de pesetas, y lamentó que España no explote más la energía solar, "cuando países con menos luz diaria como Alemania u otros como Grecia tienen esta industria mucho más avanzada".
Postion	Tokenization
1	El
2	coordinador
3	de
4	IU-LV-CA
5	informó
6	de
7	que
8	más
9	del
10	90
11	por
12	ciento
13	del
14	consumo
15	corresponde
16	a
17	energías
18	no
19	renovables
20	e
21	importadas
22	,
23	lo
24	que
25	supone
26	,
27	según
28	sus
29	cifras
30	,
31	un
32	gasto
33	anual
34	de
35	medio
36	billón
37	de
38	pesetas
39	,
40	y
41	lamentó
42	que
43	España
44	no
45	explote
46	más
47	la
48	energía
49	solar
50	,
51	"
52	cuando
53	países
54	con
55	menos
56	luz
57	diaria
58	como
59	Alemania
60	u
61	otros
62	como
63	Grecia
64	tienen
65	esta
66	industria
67	mucho
68	más
69	avanzada
70	"
71	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	coordinador	NOUN	5	nsubj
3	de	ADP	4	case
4	IU-LV-CA	PROPN	2	nmod
5	informó	VERB	0	root
6	de	ADP	15	mark
7	que	SCONJ	15	mark
8	más	ADV	10	advmod
9	del	ADP	8	case
10	90	NUM	15	nsubj
11	por	ADP	12	case
12	ciento	NUM	10	compound
13	del	ADP	14	case
14	consumo	NOUN	10	nmod
15	corresponde	VERB	5	ccomp
16	a	ADP	17	case
17	energías	NOUN	15	obj
18	no	ADV	19	advmod
19	renovables	ADJ	17	amod
20	e	CCONJ	21	cc
21	importadas	ADJ	19	conj
22	,	PUNCT	25	punct
23	lo	PRON	25	det
24	que	PRON	25	nsubj
25	supone	VERB	15	advcl
26	,	PUNCT	29	punct
27	según	ADP	29	case
28	sus	DET	29	det
29	cifras	NOUN	25	obl
30	,	PUNCT	29	punct
31	un	DET	32	det
32	gasto	NOUN	25	obj
33	anual	ADJ	32	amod
34	de	ADP	36	case
35	medio	NUM	36	nummod
36	billón	NOUN	32	nmod
37	de	ADP	38	case
38	pesetas	NOUN	36	nmod
39	,	PUNCT	41	punct
40	y	CCONJ	41	cc
41	lamentó	VERB	5	conj
42	que	SCONJ	45	mark
43	España	PROPN	45	nsubj
44	no	ADV	45	advmod
45	explote	VERB	41	ccomp
46	más	ADV	45	advmod
47	la	DET	48	det
48	energía	NOUN	45	obj
49	solar	ADJ	48	amod
50	,	PUNCT	64	punct
51	"	PUNCT	64	punct
52	cuando	SCONJ	64	mark
53	países	NOUN	64	nsubj
54	con	ADP	56	case
55	menos	ADV	56	advmod
56	luz	NOUN	53	nmod
57	diaria	ADJ	56	amod
58	como	SCONJ	59	mark
59	Alemania	PROPN	53	nmod
60	u	CCONJ	61	cc
61	otros	PRON	59	conj
62	como	SCONJ	63	mark
63	Grecia	PROPN	61	nmod
64	tienen	VERB	45	advcl
65	esta	DET	66	det
66	industria	NOUN	64	obj
67	mucho	ADV	68	advmod
68	más	ADV	69	advmod
69	avanzada	ADJ	64	advmod
70	"	PUNCT	64	punct
71	.	PUNCT	5	punct