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:
Josep Maria Ollé, concejal de Hacienda del Ayuntamiento de Valls (PSC-ERC) y máximo responsable del Pius Hospital de la ciudad, está siendo investigado por la fiscalía de Tarragona.
Postion	Tokenization
1	Josep
2	Maria
3	Ollé
4	,
5	concejal
6	de
7	Hacienda
8	del
9	Ayuntamiento
10	de
11	Valls
12	(
13	PSC-ERC
14	)
15	y
16	máximo
17	responsable
18	del
19	Pius
20	Hospital
21	de
22	la
23	ciudad
24	,
25	está
26	siendo
27	investigado
28	por
29	la
30	fiscalía
31	de
32	Tarragona
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Josep	PROPN	27	nsubj:pass
2	Maria	PROPN	1	flat
3	Ollé	PROPN	1	flat
4	,	PUNCT	5	punct
5	concejal	NOUN	1	appos
6	de	ADP	7	case
7	Hacienda	PROPN	5	nmod
8	del	ADP	9	case
9	Ayuntamiento	PROPN	5	nmod
10	de	ADP	11	case
11	Valls	PROPN	9	flat
12	(	PUNCT	13	punct
13	PSC-ERC	PROPN	9	flat
14	)	PUNCT	13	punct
15	y	CCONJ	17	cc
16	máximo	ADJ	17	amod
17	responsable	NOUN	5	conj
18	del	ADP	19	case
19	Pius	PROPN	17	nmod
20	Hospital	PROPN	19	flat
21	de	ADP	23	case
22	la	DET	23	det
23	ciudad	NOUN	19	nmod
24	,	PUNCT	5	punct
25	está	AUX	27	aux
26	siendo	AUX	27	aux:pass
27	investigado	VERB	0	root
28	por	ADP	30	case
29	la	DET	30	det
30	fiscalía	NOUN	27	obj
31	de	ADP	32	case
32	Tarragona	PROPN	30	nmod
33	.	PUNCT	27	punct