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:
Même Nicolas Cage, star de Hollywood, a visité Goldegg et il a beaucoup apprécié ce petit village avec ses habitants chaleureux.
Postion	Tokenization
1	Même
2	Nicolas
3	Cage
4	,
5	star
6	de
7	Hollywood
8	,
9	a
10	visité
11	Goldegg
12	et
13	il
14	a
15	beaucoup
16	apprécié
17	ce
18	petit
19	village
20	avec
21	ses
22	habitants
23	chaleureux
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Même	ADV	2	advmod
2	Nicolas	PROPN	10	nsubj
3	Cage	PROPN	2	flat:name
4	,	PUNCT	5	punct
5	star	NOUN	2	appos
6	de	ADP	7	case
7	Hollywood	PROPN	5	nmod
8	,	PUNCT	5	punct
9	a	AUX	10	aux:tense
10	visité	VERB	0	root
11	Goldegg	PROPN	10	obj
12	et	CCONJ	16	cc
13	il	PRON	16	nsubj
14	a	AUX	16	aux:tense
15	beaucoup	ADV	16	advmod
16	apprécié	VERB	10	conj
17	ce	DET	19	det
18	petit	ADJ	19	amod
19	village	NOUN	16	obj
20	avec	ADP	22	case
21	ses	DET	22	det
22	habitants	NOUN	16	obl:mod
23	chaleureux	ADJ	22	amod
24	.	PUNCT	10	punct