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:
Après avoir suivi une formation en danse classique, Dominique Boivin suit les cours de Carolyn Carlson puis accède à la formation d'Alwin Nikolais au CNDC d'Angers.
Postion	Tokenization
1	Après
2	avoir
3	suivi
4	une
5	formation
6	en
7	danse
8	classique
9	,
10	Dominique
11	Boivin
12	suit
13	les
14	cours
15	de
16	Carolyn
17	Carlson
18	puis
19	accède
20	à
21	la
22	formation
23	d'
24	Alwin
25	Nikolais
26	au
27	à
28	le
29	CNDC
30	d'
31	Angers
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Après	ADP	3	mark
2	avoir	AUX	3	aux:tense
3	suivi	VERB	12	advcl
4	une	DET	5	det
5	formation	NOUN	3	obj
6	en	ADP	7	case
7	danse	NOUN	5	nmod
8	classique	ADJ	7	amod
9	,	PUNCT	3	punct
10	Dominique	PROPN	12	nsubj
11	Boivin	PROPN	10	flat:name
12	suit	VERB	0	root
13	les	DET	14	det
14	cours	NOUN	12	obj
15	de	ADP	16	case
16	Carolyn	PROPN	14	nmod
17	Carlson	PROPN	16	flat:name
18	puis	ADV	19	cc
19	accède	VERB	12	conj
20	à	ADP	22	case
21	la	DET	22	det
22	formation	NOUN	19	obl:arg
23	d'	ADP	24	case
24	Alwin	PROPN	22	nmod
25	Nikolais	PROPN	24	flat:name
26	au	_	None	_
27	à	ADP	28	case
28	le	DET	28	det
29	CNDC	PROPN	22	nmod
30	d'	ADP	30	case
31	Angers	PROPN	28	nmod
32	.	PUNCT	12	punct