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:
La majorité des alligators américains se situent en Floride et en Louisiane, avec plus d'un million d'individus dans chaque État.
Postion	Tokenization
1	La
2	majorité
3	des
4	de
5	les
6	alligators
7	américains
8	se
9	situent
10	en
11	Floride
12	et
13	en
14	Louisiane
15	,
16	avec
17	plus
18	d'
19	un
20	million
21	d'
22	individus
23	dans
24	chaque
25	État
26	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	majorité	NOUN	8	nsubj:pass
3	des	_	None	_
4	de	ADP	5	case
5	les	DET	5	det
6	alligators	NOUN	2	nmod
7	américains	ADJ	5	amod
8	se	PRON	8	expl:pass
9	situent	VERB	0	root
10	en	ADP	10	case
11	Floride	PROPN	8	obl:mod
12	et	CCONJ	13	cc
13	en	ADP	13	case
14	Louisiane	PROPN	10	conj
15	,	PUNCT	16	punct
16	avec	ADP	16	case
17	plus	ADV	8	obl:mod
18	d'	ADP	19	case
19	un	NUM	19	nummod
20	million	NOUN	16	dep:comp
21	d'	ADP	21	case
22	individus	NOUN	19	nmod
23	dans	ADP	24	case
24	chaque	DET	24	det
25	État	NOUN	19	nmod
26	.	PUNCT	8	punct