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:
La première sorte sont de rares variants qui entraînent de sévères et prédominants effets sur de simples traits (exemple la mucoviscidose, la maladie de Huntington).
Postion	Tokenization
1	La
2	première
3	sorte
4	sont
5	de
6	rares
7	variants
8	qui
9	entraînent
10	de
11	sévères
12	et
13	prédominants
14	effets
15	sur
16	de
17	simples
18	traits
19	(
20	exemple
21	la
22	mucoviscidose
23	,
24	la
25	maladie
26	de
27	Huntington
28	)
29	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	3	det
2	première	ADJ	3	amod
3	sorte	NOUN	7	nsubj
4	sont	AUX	7	cop
5	de	DET	7	det
6	rares	ADJ	7	amod
7	variants	NOUN	0	root
8	qui	PRON	9	nsubj
9	entraînent	VERB	7	acl:relcl
10	de	DET	14	det
11	sévères	ADJ	14	amod
12	et	CCONJ	13	cc
13	prédominants	ADJ	11	conj
14	effets	NOUN	9	obj
15	sur	ADP	18	case
16	de	DET	18	det
17	simples	ADJ	18	amod
18	traits	NOUN	9	obl:mod
19	(	PUNCT	22	punct
20	exemple	NOUN	22	nmod
21	la	DET	22	det
22	mucoviscidose	NOUN	18	appos
23	,	PUNCT	25	punct
24	la	DET	25	det
25	maladie	NOUN	22	conj
26	de	ADP	27	case
27	Huntington	PROPN	25	nmod
28	)	PUNCT	22	punct
29	.	PUNCT	7	punct