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:
Il présente 4 taches caractéristiques, produites par une pilosité orangée qui orne le pronotome, lequel dispose de chaque côté d'une sorte de « dent » arrondie.
Postion	Tokenization
1	Il
2	présente
3	4
4	taches
5	caractéristiques
6	,
7	produites
8	par
9	une
10	pilosité
11	orangée
12	qui
13	orne
14	le
15	pronotome
16	,
17	lequel
18	dispose
19	de
20	chaque
21	côté
22	d'
23	une
24	sorte
25	de
26	«
27	dent
28	»
29	arrondie
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	2	nsubj
2	présente	VERB	0	root
3	4	NUM	4	nummod
4	taches	NOUN	2	obj
5	caractéristiques	ADJ	4	amod
6	,	PUNCT	7	punct
7	produites	VERB	4	acl
8	par	ADP	10	case
9	une	DET	10	det
10	pilosité	NOUN	7	obl:agent
11	orangée	ADJ	10	amod
12	qui	PRON	13	nsubj
13	orne	VERB	10	acl:relcl
14	le	DET	15	det
15	pronotome	NOUN	13	obj
16	,	PUNCT	18	punct
17	lequel	PRON	18	nsubj
18	dispose	VERB	15	acl:relcl
19	de	ADP	21	case
20	chaque	DET	21	det
21	côté	NOUN	18	obl:mod
22	d'	ADP	24	case
23	une	DET	24	det
24	sorte	NOUN	18	obl:arg
25	de	ADP	27	case
26	«	PUNCT	27	punct
27	dent	NOUN	24	nmod
28	»	PUNCT	27	punct
29	arrondie	ADJ	27	amod
30	.	PUNCT	2	punct