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:
En cette occasion, les résultats de l'analyse graphologique réalisée par Silvana Bernardini sur des textes de l'artiste ont été présentés (voir ci-haut).
Postion	Tokenization
1	En
2	cette
3	occasion
4	,
5	les
6	résultats
7	de
8	l'
9	analyse
10	graphologique
11	réalisée
12	par
13	Silvana
14	Bernardini
15	sur
16	des
17	textes
18	de
19	l'
20	artiste
21	ont
22	été
23	présentés
24	(
25	voir
26	ci-haut
27	)
28	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	cette	DET	3	det
3	occasion	NOUN	23	obl:mod
4	,	PUNCT	3	punct
5	les	DET	6	det
6	résultats	NOUN	23	nsubj:pass
7	de	ADP	9	case
8	l'	DET	9	det
9	analyse	NOUN	6	nmod
10	graphologique	ADJ	9	amod
11	réalisée	VERB	9	acl
12	par	ADP	13	case
13	Silvana	PROPN	11	obl:agent
14	Bernardini	PROPN	13	flat:name
15	sur	ADP	17	case
16	des	DET	17	det
17	textes	NOUN	11	obl:mod
18	de	ADP	20	case
19	l'	DET	20	det
20	artiste	NOUN	17	nmod
21	ont	AUX	23	aux:tense
22	été	AUX	23	aux:pass
23	présentés	VERB	0	root
24	(	PUNCT	25	punct
25	voir	VERB	23	parataxis
26	ci-haut	ADV	25	advmod
27	)	PUNCT	25	punct
28	.	PUNCT	23	punct