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:
« Les changements d'horaire, c'est plutôt une bonne chose pour moi, je gagne deux minutes sur mon temps d'attente, sourit-elle.
Postion	Tokenization
1	«
2	Les
3	changements
4	d'
5	horaire
6	,
7	c'
8	est
9	plutôt
10	une
11	bonne
12	chose
13	pour
14	moi
15	,
16	je
17	gagne
18	deux
19	minutes
20	sur
21	mon
22	temps
23	d'
24	attente
25	,
26	sourit
27	-elle
28	.
Position	Tokenization	UPOS	Head	Deprel
1	«	PUNCT	12	punct
2	Les	DET	3	det
3	changements	NOUN	12	dislocated
4	d'	ADP	5	case
5	horaire	NOUN	3	nmod
6	,	PUNCT	3	punct
7	c'	PRON	12	nsubj
8	est	AUX	12	cop
9	plutôt	ADV	12	advmod
10	une	DET	12	det
11	bonne	ADJ	12	amod
12	chose	NOUN	0	root
13	pour	ADP	14	case
14	moi	PRON	12	obl:mod
15	,	PUNCT	17	punct
16	je	PRON	17	nsubj
17	gagne	VERB	12	parataxis
18	deux	NUM	19	nummod
19	minutes	NOUN	17	obj
20	sur	ADP	22	case
21	mon	DET	22	det
22	temps	NOUN	17	obl:mod
23	d'	ADP	24	case
24	attente	NOUN	22	nmod
25	,	PUNCT	26	punct
26	sourit	VERB	12	parataxis
27	-elle	PRON	26	nsubj
28	.	PUNCT	12	punct