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:
Dans un premier temps, on décida de les remplacer par de nouvelles statues de style résolument contemporain, mais l'opinion publique estima que ces statues dénotaient fort sur l'édifice.
Postion	Tokenization
1	Dans
2	un
3	premier
4	temps
5	,
6	on
7	décida
8	de
9	les
10	remplacer
11	par
12	de
13	nouvelles
14	statues
15	de
16	style
17	résolument
18	contemporain
19	,
20	mais
21	l'
22	opinion
23	publique
24	estima
25	que
26	ces
27	statues
28	dénotaient
29	fort
30	sur
31	l'
32	édifice
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Dans	ADP	4	case
2	un	DET	4	det
3	premier	ADJ	4	amod
4	temps	NOUN	7	obl:mod
5	,	PUNCT	4	punct
6	on	PRON	7	nsubj
7	décida	VERB	0	root
8	de	ADP	10	mark
9	les	PRON	10	obj
10	remplacer	VERB	7	xcomp:obj
11	par	ADP	14	case
12	de	DET	14	det
13	nouvelles	ADJ	14	amod
14	statues	NOUN	10	obl:arg
15	de	ADP	16	case
16	style	NOUN	14	nmod
17	résolument	ADV	18	advmod
18	contemporain	ADJ	16	amod
19	,	PUNCT	24	punct
20	mais	CCONJ	24	cc
21	l'	DET	22	det
22	opinion	NOUN	24	nsubj
23	publique	ADJ	22	amod
24	estima	VERB	7	conj
25	que	SCONJ	28	mark
26	ces	DET	27	det
27	statues	NOUN	28	nsubj
28	dénotaient	VERB	24	ccomp:obj
29	fort	ADV	28	advmod
30	sur	ADP	32	case
31	l'	DET	32	det
32	édifice	NOUN	28	obl:mod
33	.	PUNCT	7	punct