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 prend d'abord en charge des équipes de second plan, avant de revenir entraîner à plusieurs reprises des équipes majeures comme AC Fiorentina, AS Rome et Milan AC.
Postion	Tokenization
1	Il
2	prend
3	d'
4	abord
5	en
6	charge
7	des
8	équipes
9	de
10	second
11	plan
12	,
13	avant
14	de
15	revenir
16	entraîner
17	à
18	plusieurs
19	reprises
20	des
21	équipes
22	majeures
23	comme
24	AC
25	Fiorentina
26	,
27	AS
28	Rome
29	et
30	Milan
31	AC
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	2	nsubj
2	prend	VERB	0	root
3	d'	ADP	2	advmod
4	abord	NOUN	3	fixed
5	en	ADP	6	case
6	charge	NOUN	2	obl:mod
7	des	DET	8	det
8	équipes	NOUN	2	obj
9	de	ADP	11	case
10	second	ADJ	11	amod
11	plan	NOUN	8	nmod
12	,	PUNCT	13	punct
13	avant	ADV	2	advmod
14	de	ADP	15	mark
15	revenir	VERB	13	ccomp:obj
16	entraîner	VERB	15	xcomp:obj
17	à	ADP	19	case
18	plusieurs	DET	19	det
19	reprises	NOUN	16	obl:mod
20	des	DET	21	det
21	équipes	NOUN	16	obj
22	majeures	ADJ	21	amod
23	comme	ADP	24	case
24	AC	PROPN	21	nmod
25	Fiorentina	PROPN	24	flat:name
26	,	PUNCT	27	punct
27	AS	PROPN	24	conj
28	Rome	PROPN	27	flat:name
29	et	CCONJ	30	cc
30	Milan	PROPN	24	conj
31	AC	PROPN	30	flat:name
32	.	PUNCT	2	punct