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:
Izquierda Unida pedirá al fiscal general del Estado, Jesús Cardenal, que intervenga en la concesión de ayudas públicas a la empresa Boliden Aspirsa, propietaria de las minas Aznalcollar, que ocasionaron el vertido tóxico en el entorno del Parque Nacional Doñana.
Postion	Tokenization
1	Izquierda
2	Unida
3	pedirá
4	al
5	fiscal
6	general
7	del
8	Estado
9	,
10	Jesús
11	Cardenal
12	,
13	que
14	intervenga
15	en
16	la
17	concesión
18	de
19	ayudas
20	públicas
21	a
22	la
23	empresa
24	Boliden
25	Aspirsa
26	,
27	propietaria
28	de
29	las
30	minas
31	Aznalcollar
32	,
33	que
34	ocasionaron
35	el
36	vertido
37	tóxico
38	en
39	el
40	entorno
41	del
42	Parque
43	Nacional
44	Doñana
45	.
Position	Tokenization	UPOS	Head	Deprel
1	Izquierda	PROPN	3	nsubj
2	Unida	PROPN	1	flat
3	pedirá	VERB	0	root
4	al	ADP	5	case
5	fiscal	NOUN	3	iobj
6	general	ADJ	5	amod
7	del	ADP	8	case
8	Estado	PROPN	5	nmod
9	,	PUNCT	10	punct
10	Jesús	PROPN	5	appos
11	Cardenal	PROPN	10	flat
12	,	PUNCT	10	punct
13	que	SCONJ	14	mark
14	intervenga	VERB	3	ccomp
15	en	ADP	17	case
16	la	DET	17	det
17	concesión	NOUN	14	obj
18	de	ADP	19	case
19	ayudas	NOUN	17	nmod
20	públicas	ADJ	19	amod
21	a	ADP	23	case
22	la	DET	23	det
23	empresa	NOUN	19	nmod
24	Boliden	PROPN	23	appos
25	Aspirsa	PROPN	24	flat
26	,	PUNCT	27	punct
27	propietaria	ADJ	23	amod
28	de	ADP	30	case
29	las	DET	30	det
30	minas	NOUN	27	nmod
31	Aznalcollar	PROPN	30	appos
32	,	PUNCT	34	punct
33	que	PRON	34	nsubj
34	ocasionaron	VERB	30	acl
35	el	DET	36	det
36	vertido	NOUN	34	obj
37	tóxico	ADJ	36	amod
38	en	ADP	40	case
39	el	DET	40	det
40	entorno	NOUN	36	nmod
41	del	ADP	42	case
42	Parque	PROPN	40	nmod
43	Nacional	PROPN	42	flat
44	Doñana	PROPN	42	flat
45	.	PUNCT	3	punct