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 construction personnelle s'effectue par l'intégration de nouvelles informations en fonction de l'expérience de l'individu afin qu'il puisse anticiper les évènements prochains.
Postion	Tokenization
1	La
2	construction
3	personnelle
4	s'
5	effectue
6	par
7	l'
8	intégration
9	de
10	nouvelles
11	informations
12	en
13	fonction
14	de
15	l'
16	expérience
17	de
18	l'
19	individu
20	afin
21	qu'
22	il
23	puisse
24	anticiper
25	les
26	évènements
27	prochains
28	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	construction	NOUN	5	nsubj:pass
3	personnelle	ADJ	2	amod
4	s'	PRON	5	expl:pass
5	effectue	VERB	0	root
6	par	ADP	8	case
7	l'	DET	8	det
8	intégration	NOUN	5	obl:arg
9	de	ADP	11	case
10	nouvelles	ADJ	11	amod
11	informations	NOUN	8	nmod
12	en	ADP	13	case
13	fonction	NOUN	5	obl:mod
14	de	ADP	16	case
15	l'	DET	16	det
16	expérience	NOUN	13	nmod
17	de	ADP	19	case
18	l'	DET	19	det
19	individu	NOUN	16	nmod
20	afin	ADV	5	advmod
21	qu'	SCONJ	23	mark
22	il	PRON	23	nsubj
23	puisse	VERB	20	ccomp:obj
24	anticiper	VERB	23	xcomp:obj
25	les	DET	26	det
26	évènements	NOUN	24	obj
27	prochains	ADJ	26	amod
28	.	PUNCT	5	punct