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:
Nombre d'investisseurs qui, auparavant, voyaient d'un mauvais œil l'accumulation de liquidités par les entreprises reconnaissent maintenant les avantages de la constitution de réserves de liquidités importantes.
Postion	Tokenization
1	Nombre
2	d'
3	investisseurs
4	qui
5	,
6	auparavant
7	,
8	voyaient
9	d'
10	un
11	mauvais
12	œil
13	l'
14	accumulation
15	de
16	liquidités
17	par
18	les
19	entreprises
20	reconnaissent
21	maintenant
22	les
23	avantages
24	de
25	la
26	constitution
27	de
28	réserves
29	de
30	liquidités
31	importantes
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Nombre	ADV	20	nsubj
2	d'	ADP	3	case
3	investisseurs	NOUN	1	dep:comp
4	qui	PRON	8	nsubj
5	,	PUNCT	4	punct
6	auparavant	ADV	8	advmod
7	,	PUNCT	6	punct
8	voyaient	VERB	3	acl:relcl
9	d'	ADP	12	case
10	un	DET	12	det
11	mauvais	ADJ	12	amod
12	œil	NOUN	8	obl:mod
13	l'	DET	14	det
14	accumulation	NOUN	8	obj
15	de	ADP	16	case
16	liquidités	NOUN	14	nmod
17	par	ADP	19	case
18	les	DET	19	det
19	entreprises	NOUN	14	nmod
20	reconnaissent	VERB	0	root
21	maintenant	ADV	20	advmod
22	les	DET	23	det
23	avantages	NOUN	20	obj
24	de	ADP	26	case
25	la	DET	26	det
26	constitution	NOUN	23	nmod
27	de	ADP	28	case
28	réserves	NOUN	26	nmod
29	de	ADP	30	case
30	liquidités	NOUN	28	nmod
31	importantes	ADJ	28	amod
32	.	PUNCT	20	punct