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:
Aux primaires du Parti républicain, il arriva en tête des prétendants avec 33% des suffrages et fut donc sélectionné comme candidat républicain.
Postion	Tokenization
1	Aux
2	à
3	les
4	primaires
5	du
6	de
7	le
8	Parti
9	républicain
10	,
11	il
12	arriva
13	en
14	tête
15	des
16	de
17	les
18	prétendants
19	avec
20	33
21	%
22	des
23	de
24	les
25	suffrages
26	et
27	fut
28	donc
29	sélectionné
30	comme
31	candidat
32	républicain
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Aux	_	None	_
2	à	ADP	3	case
3	les	DET	3	det
4	primaires	NOUN	10	obl:mod
5	du	_	None	_
6	de	ADP	6	case
7	le	DET	6	det
8	Parti	NOUN	3	nmod
9	républicain	ADJ	6	amod
10	,	PUNCT	3	punct
11	il	PRON	10	nsubj
12	arriva	VERB	0	root
13	en	ADP	10	obl:arg
14	tête	NOUN	11	fixed
15	des	_	None	_
16	de	ADP	15	case
17	les	DET	15	det
18	prétendants	NOUN	11	obl:arg
19	avec	ADP	18	case
20	33	NUM	18	nummod
21	%	SYM	10	obl:mod
22	des	_	None	_
23	de	ADP	21	case
24	les	DET	21	det
25	suffrages	NOUN	18	nmod
26	et	CCONJ	25	cc
27	fut	AUX	25	aux:pass
28	donc	ADV	25	advmod
29	sélectionné	VERB	10	conj
30	comme	ADP	27	case
31	candidat	NOUN	25	obl:mod
32	républicain	ADJ	27	amod
33	.	PUNCT	10	punct