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 cinq ans d'expériences un candidat peut présenter un mémoire qui démontre qu'il a les compétences et connaissances d'un éducateur spécialisé.
Postion	Tokenization
1	Après
2	cinq
3	ans
4	d'
5	expériences
6	un
7	candidat
8	peut
9	présenter
10	un
11	mémoire
12	qui
13	démontre
14	qu'
15	il
16	a
17	les
18	compétences
19	et
20	connaissances
21	d'
22	un
23	éducateur
24	spécialisé
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Après	ADP	3	case
2	cinq	NUM	3	nummod
3	ans	NOUN	8	obl:mod
4	d'	ADP	5	case
5	expériences	NOUN	3	nmod
6	un	DET	7	det
7	candidat	NOUN	8	nsubj
8	peut	VERB	0	root
9	présenter	VERB	8	xcomp:obj
10	un	DET	11	det
11	mémoire	NOUN	9	obj
12	qui	PRON	13	nsubj
13	démontre	VERB	11	acl:relcl
14	qu'	SCONJ	16	mark
15	il	PRON	16	nsubj
16	a	VERB	13	ccomp:obj
17	les	DET	18	det
18	compétences	NOUN	16	obj:lvc
19	et	CCONJ	20	cc
20	connaissances	NOUN	18	conj
21	d'	ADP	23	case
22	un	DET	23	det
23	éducateur	NOUN	18	nmod
24	spécialisé	ADJ	23	amod
25	.	PUNCT	8	punct