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, EX militante de UDC, fue una de las apuestas del actual alcalde, el socialista Francesc Moreno, al confeccionar la candidatura para las elecciones de 1999 y ocupó el tercer puesto de la lista.
Postion	Tokenization
1	Josep
2	Maria
3	Ollé
4	,
5	EX
6	militante
7	de
8	UDC
9	,
10	fue
11	una
12	de
13	las
14	apuestas
15	del
16	actual
17	alcalde
18	,
19	el
20	socialista
21	Francesc
22	Moreno
23	,
24	al
25	confeccionar
26	la
27	candidatura
28	para
29	las
30	elecciones
31	de
32	1999
33	y
34	ocupó
35	el
36	tercer
37	puesto
38	de
39	la
40	lista
41	.
Position	Tokenization	UPOS	Head	Deprel
1	Josep	PROPN	11	nsubj
2	Maria	PROPN	1	flat
3	Ollé	PROPN	1	flat
4	,	PUNCT	6	punct
5	EX	ADJ	6	amod
6	militante	NOUN	1	appos
7	de	ADP	8	case
8	UDC	PROPN	6	nmod
9	,	PUNCT	6	punct
10	fue	AUX	11	cop
11	una	PRON	0	root
12	de	ADP	14	case
13	las	DET	14	det
14	apuestas	NOUN	11	nmod
15	del	ADP	17	case
16	actual	ADJ	17	amod
17	alcalde	NOUN	14	nmod
18	,	PUNCT	20	punct
19	el	DET	20	det
20	socialista	NOUN	17	appos
21	Francesc	PROPN	20	appos
22	Moreno	PROPN	21	flat
23	,	PUNCT	20	punct
24	al	ADP	25	mark
25	confeccionar	VERB	14	acl
26	la	DET	27	det
27	candidatura	NOUN	25	obj
28	para	ADP	30	case
29	las	DET	30	det
30	elecciones	NOUN	25	obl
31	de	ADP	32	case
32	1999	NOUN	30	nmod
33	y	CCONJ	34	cc
34	ocupó	VERB	11	conj
35	el	DET	37	det
36	tercer	ADJ	37	amod
37	puesto	NOUN	34	obj
38	de	ADP	40	case
39	la	DET	40	det
40	lista	NOUN	37	nmod
41	.	PUNCT	11	punct