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 domestication a modifié l'apparence physique des chiens qui présentent depuis un exemple frappant de néoténie, à savoir le maintien de caractéristiques juvéniles chez les adultes.
Postion	Tokenization
1	La
2	domestication
3	a
4	modifié
5	l'
6	apparence
7	physique
8	des
9	de
10	les
11	chiens
12	qui
13	présentent
14	depuis
15	un
16	exemple
17	frappant
18	de
19	néoténie
20	,
21	à
22	savoir
23	le
24	maintien
25	de
26	caractéristiques
27	juvéniles
28	chez
29	les
30	adultes
31	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	domestication	NOUN	4	nsubj
3	a	AUX	4	aux:tense
4	modifié	VERB	0	root
5	l'	DET	6	det
6	apparence	NOUN	4	obj
7	physique	ADJ	6	amod
8	des	_	None	_
9	de	ADP	10	case
10	les	DET	10	det
11	chiens	NOUN	6	nmod
12	qui	PRON	12	nsubj
13	présentent	VERB	10	acl:relcl
14	depuis	ADP	15	case
15	un	DET	15	det
16	exemple	NOUN	12	obl:mod
17	frappant	VERB	15	acl
18	de	ADP	18	case
19	néoténie	NOUN	15	nmod
20	,	PUNCT	23	punct
21	à	ADP	23	advmod
22	savoir	VERB	20	fixed
23	le	DET	23	det
24	maintien	NOUN	15	appos
25	de	ADP	25	case
26	caractéristiques	NOUN	23	nmod
27	juvéniles	ADJ	25	amod
28	chez	ADP	29	case
29	les	DET	29	det
30	adultes	NOUN	23	nmod
31	.	PUNCT	4	punct