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:
Il a été suggéré que les effets plus puissants de Sam68 sur Rev/RRE observés auparavant étaient en raison des faiblesses dans le système RRE-CAT.
Postion	Tokenization
1	Il
2	a
3	été
4	suggéré
5	que
6	les
7	effets
8	plus
9	puissants
10	de
11	Sam68
12	sur
13	Rev
14	/
15	RRE
16	observés
17	auparavant
18	étaient
19	en
20	raison
21	des
22	de
23	les
24	faiblesses
25	dans
26	le
27	système
28	RRE-CAT
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	4	expl:subj
2	a	AUX	4	aux:tense
3	été	AUX	4	aux:pass
4	suggéré	VERB	0	root
5	que	SCONJ	18	mark
6	les	DET	7	det
7	effets	NOUN	18	nsubj
8	plus	ADV	9	advmod
9	puissants	ADJ	7	amod
10	de	ADP	11	case
11	Sam68	PROPN	7	nmod
12	sur	ADP	13	case
13	Rev	PROPN	7	nmod
14	/	SYM	15	cc
15	RRE	PROPN	13	conj
16	observés	VERB	7	acl
17	auparavant	ADV	16	advmod
18	étaient	VERB	4	csubj:pass
19	en	ADP	18	advmod
20	raison	NOUN	19	fixed
21	des	_	None	_
22	de	ADP	23	case
23	les	DET	23	det
24	faiblesses	NOUN	19	obl:arg
25	dans	ADP	26	case
26	le	DET	26	det
27	système	NOUN	23	nmod
28	RRE-CAT	PROPN	26	appos
29	.	PUNCT	4	punct