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 réalité, ce montage permet surtout de distribuer des dividendes substantiels aux actionnaires de Sofiouest, souvent présentée comme « la machine à cash du groupe ».
Postion	Tokenization
1	En
2	réalité
3	,
4	ce
5	montage
6	permet
7	surtout
8	de
9	distribuer
10	des
11	dividendes
12	substantiels
13	aux
14	à
15	les
16	actionnaires
17	de
18	Sofiouest
19	,
20	souvent
21	présentée
22	comme
23	«
24	la
25	machine
26	à
27	cash
28	du
29	de
30	le
31	groupe
32	»
33	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	réalité	NOUN	6	obl:mod
3	,	PUNCT	2	punct
4	ce	DET	5	det
5	montage	NOUN	6	nsubj
6	permet	VERB	0	root
7	surtout	ADV	6	advmod
8	de	ADP	9	mark
9	distribuer	VERB	6	xcomp:obj
10	des	DET	11	det
11	dividendes	NOUN	9	obj
12	substantiels	ADJ	11	amod
13	aux	_	None	_
14	à	ADP	15	case
15	les	DET	15	det
16	actionnaires	NOUN	9	obl:arg
17	de	ADP	17	case
18	Sofiouest	PROPN	15	nmod
19	,	PUNCT	20	punct
20	souvent	ADV	20	advmod
21	présentée	VERB	17	acl
22	comme	ADP	24	case
23	«	PUNCT	24	punct
24	la	DET	24	det
25	machine	NOUN	20	xcomp:pred
26	à	ADP	26	case
27	cash	NOUN	24	nmod
28	du	_	None	_
29	de	ADP	29	case
30	le	DET	29	det
31	groupe	NOUN	24	nmod
32	»	PUNCT	24	punct
33	.	PUNCT	6	punct