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:
Las primeras informaciones apuntan a que existen documentos con fundados indicios de que Ollé, edil independiente adscrito al grupo del PSC, "habría utilizado indebidamente y para usos personales unos 14 millones de la sociedad municipal que rige el centro médico", según fuentes conocedoras del caso.
Postion	Tokenization
1	Las
2	primeras
3	informaciones
4	apuntan
5	a
6	que
7	existen
8	documentos
9	con
10	fundados
11	indicios
12	de
13	que
14	Ollé
15	,
16	edil
17	independiente
18	adscrito
19	al
20	grupo
21	del
22	PSC
23	,
24	"
25	habría
26	utilizado
27	indebidamente
28	y
29	para
30	usos
31	personales
32	unos
33	14
34	millones
35	de
36	la
37	sociedad
38	municipal
39	que
40	rige
41	el
42	centro
43	médico
44	"
45	,
46	según
47	fuentes
48	conocedoras
49	del
50	caso
51	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	3	det
2	primeras	ADJ	3	amod
3	informaciones	NOUN	4	nsubj
4	apuntan	VERB	0	root
5	a	ADP	7	mark
6	que	SCONJ	7	mark
7	existen	VERB	4	ccomp
8	documentos	NOUN	7	nsubj
9	con	ADP	11	case
10	fundados	ADJ	11	amod
11	indicios	NOUN	8	nmod
12	de	ADP	26	mark
13	que	SCONJ	26	mark
14	Ollé	PROPN	26	nsubj
15	,	PUNCT	16	punct
16	edil	NOUN	14	appos
17	independiente	ADJ	16	amod
18	adscrito	ADJ	16	amod
19	al	ADP	20	case
20	grupo	NOUN	18	obj
21	del	ADP	22	case
22	PSC	PROPN	20	nmod
23	,	PUNCT	16	punct
24	"	PUNCT	26	punct
25	habría	AUX	26	aux
26	utilizado	VERB	11	acl
27	indebidamente	ADV	26	advmod
28	y	CCONJ	30	cc
29	para	ADP	30	case
30	usos	NOUN	27	conj
31	personales	ADJ	30	amod
32	unos	PRON	33	nmod
33	14	NUM	34	nummod
34	millones	NOUN	26	obj
35	de	ADP	37	case
36	la	DET	37	det
37	sociedad	NOUN	34	nmod
38	municipal	ADJ	37	amod
39	que	PRON	40	nsubj
40	rige	VERB	37	acl
41	el	DET	42	det
42	centro	NOUN	40	obj
43	médico	ADJ	42	amod
44	"	PUNCT	26	punct
45	,	PUNCT	47	punct
46	según	ADP	47	case
47	fuentes	NOUN	4	obl
48	conocedoras	ADJ	47	amod
49	del	ADP	50	case
50	caso	NOUN	48	nmod
51	.	PUNCT	4	punct