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:
Les manifestations ont eu lieu dans un premier temps dans l'État de Floride, puis dans de nombreuses villes des États-Unis notamment New York et Chicago.
Postion	Tokenization
1	Les
2	manifestations
3	ont
4	eu
5	lieu
6	dans
7	un
8	premier
9	temps
10	dans
11	l'
12	État
13	de
14	Floride
15	,
16	puis
17	dans
18	de
19	nombreuses
20	villes
21	des
22	de
23	les
24	États-Unis
25	notamment
26	New
27	York
28	et
29	Chicago
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Les	DET	2	det
2	manifestations	NOUN	4	nsubj
3	ont	AUX	4	aux:tense
4	eu	VERB	0	root
5	lieu	NOUN	4	obj:lvc
6	dans	ADP	9	case
7	un	DET	9	det
8	premier	ADJ	9	amod
9	temps	NOUN	4	obl:mod
10	dans	ADP	12	case
11	l'	DET	12	det
12	État	NOUN	4	obl:mod
13	de	ADP	14	case
14	Floride	PROPN	12	nmod
15	,	PUNCT	20	punct
16	puis	ADV	20	cc
17	dans	ADP	20	case
18	de	DET	20	det
19	nombreuses	ADJ	20	amod
20	villes	NOUN	12	conj
21	des	_	None	_
22	de	ADP	23	case
23	les	DET	23	det
24	États-Unis	PROPN	20	nmod
25	notamment	ADV	25	advmod
26	New	PROPN	20	appos
27	York	PROPN	25	flat:name
28	et	CCONJ	28	cc
29	Chicago	PROPN	25	conj
30	.	PUNCT	4	punct