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:
"Mientras en Francia exigen a la propietaria del petrolero 'Erika'que pague por sus responsabilidades, aquí les pagamos", dijo el candidato de IU a la presidencia de la Junta de Andalucía, que se mostró "asombrado por esta actitud" y aseguró que la comunidad andaluza se encuentra "al borde del colapso ecológico".
Postion	Tokenization
1	"
2	Mientras
3	en
4	Francia
5	exigen
6	a
7	la
8	propietaria
9	del
10	petrolero
11	'Erika'
12	que
13	pague
14	por
15	sus
16	responsabilidades
17	,
18	aquí
19	les
20	pagamos
21	"
22	,
23	dijo
24	el
25	candidato
26	de
27	IU
28	a
29	la
30	presidencia
31	de
32	la
33	Junta
34	de
35	Andalucía
36	,
37	que
38	se
39	mostró
40	"
41	asombrado
42	por
43	esta
44	actitud
45	"
46	y
47	aseguró
48	que
49	la
50	comunidad
51	andaluza
52	se
53	encuentra
54	"
55	al
56	borde
57	del
58	colapso
59	ecológico
60	"
61	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	20	punct
2	Mientras	SCONJ	5	mark
3	en	ADP	4	case
4	Francia	PROPN	5	obl
5	exigen	VERB	20	advcl
6	a	ADP	8	case
7	la	DET	8	det
8	propietaria	NOUN	5	iobj
9	del	ADP	10	case
10	petrolero	NOUN	8	nmod
11	'Erika'	PROPN	10	appos
12	que	SCONJ	13	mark
13	pague	VERB	5	ccomp
14	por	ADP	16	case
15	sus	DET	16	det
16	responsabilidades	NOUN	13	obj
17	,	PUNCT	5	punct
18	aquí	ADV	20	advmod
19	les	PRON	20	obj
20	pagamos	VERB	23	advcl
21	"	PUNCT	20	punct
22	,	PUNCT	20	punct
23	dijo	VERB	0	root
24	el	DET	25	det
25	candidato	NOUN	23	nsubj
26	de	ADP	27	case
27	IU	PROPN	25	nmod
28	a	ADP	30	case
29	la	DET	30	det
30	presidencia	NOUN	25	nmod
31	de	ADP	33	case
32	la	DET	33	det
33	Junta	PROPN	30	nmod
34	de	ADP	35	case
35	Andalucía	PROPN	33	flat
36	,	PUNCT	39	punct
37	que	PRON	39	nsubj
38	se	PRON	39	expl:pv
39	mostró	VERB	25	acl
40	"	PUNCT	41	punct
41	asombrado	ADJ	39	obj
42	por	ADP	44	case
43	esta	DET	44	det
44	actitud	NOUN	41	obl
45	"	PUNCT	41	punct
46	y	CCONJ	47	cc
47	aseguró	VERB	39	conj
48	que	SCONJ	53	mark
49	la	DET	50	det
50	comunidad	NOUN	53	nsubj
51	andaluza	ADJ	50	amod
52	se	PRON	53	expl:pv
53	encuentra	VERB	47	ccomp
54	"	PUNCT	58	punct
55	al	ADP	58	case
56	borde	NOUN	55	fixed
57	del	ADP	55	fixed
58	colapso	NOUN	53	obj
59	ecológico	ADJ	58	amod
60	"	PUNCT	58	punct
61	.	PUNCT	23	punct