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:
Según Romero, la política medioambiental del Gobierno andaluz presidido por Manuel Chaves ha sido "un desastre que calificamos no con cero sino con puntos negativos", y afirmó que la última legislatura han sido "años perdidos para sacar a Andalucía de su dependencia en consumo energético".
Postion	Tokenization
1	Según
2	Romero
3	,
4	la
5	política
6	medioambiental
7	del
8	Gobierno
9	andaluz
10	presidido
11	por
12	Manuel
13	Chaves
14	ha
15	sido
16	"
17	un
18	desastre
19	que
20	calificamos
21	no
22	con
23	cero
24	sino
25	con
26	puntos
27	negativos
28	"
29	,
30	y
31	afirmó
32	que
33	la
34	última
35	legislatura
36	han
37	sido
38	"
39	años
40	perdidos
41	para
42	sacar
43	a
44	Andalucía
45	de
46	su
47	dependencia
48	en
49	consumo
50	energético
51	"
52	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	2	case
2	Romero	PROPN	18	obl
3	,	PUNCT	2	punct
4	la	DET	5	det
5	política	NOUN	18	nsubj
6	medioambiental	ADJ	5	amod
7	del	ADP	8	case
8	Gobierno	PROPN	5	nmod
9	andaluz	ADJ	8	amod
10	presidido	ADJ	8	amod
11	por	ADP	12	case
12	Manuel	PROPN	10	obj
13	Chaves	PROPN	12	flat
14	ha	AUX	18	aux
15	sido	AUX	18	cop
16	"	PUNCT	18	punct
17	un	DET	18	det
18	desastre	NOUN	0	root
19	que	PRON	20	obj
20	calificamos	VERB	18	acl
21	no	ADV	20	advmod
22	con	ADP	21	case
23	cero	NOUN	21	nmod
24	sino	CCONJ	26	cc
25	con	ADP	26	case
26	puntos	NOUN	21	conj
27	negativos	ADJ	26	amod
28	"	PUNCT	31	punct
29	,	PUNCT	31	punct
30	y	CCONJ	31	cc
31	afirmó	VERB	18	conj
32	que	SCONJ	39	mark
33	la	DET	35	det
34	última	ADJ	35	amod
35	legislatura	NOUN	39	nsubj
36	han	AUX	39	aux
37	sido	AUX	39	cop
38	"	PUNCT	39	punct
39	años	NOUN	31	ccomp
40	perdidos	ADJ	39	amod
41	para	ADP	42	mark
42	sacar	VERB	39	acl
43	a	ADP	44	case
44	Andalucía	PROPN	42	obj
45	de	ADP	47	case
46	su	DET	47	det
47	dependencia	NOUN	42	obl
48	en	ADP	49	case
49	consumo	NOUN	47	nmod
50	energético	ADJ	49	amod
51	"	PUNCT	39	punct
52	.	PUNCT	18	punct