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:
Hôtel fort bien situé, proche des différents moyens de transports tels que le tram et le bus qui permettent de circuler facilement dans cette belle ville.
Postion	Tokenization
1	Hôtel
2	fort
3	bien
4	situé
5	,
6	proche
7	des
8	de
9	les
10	différents
11	moyens
12	de
13	transports
14	tels
15	que
16	le
17	tram
18	et
19	le
20	bus
21	qui
22	permettent
23	de
24	circuler
25	facilement
26	dans
27	cette
28	belle
29	ville
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Hôtel	NOUN	0	root
2	fort	ADV	3	advmod
3	bien	ADV	4	advmod
4	situé	VERB	1	acl
5	,	PUNCT	6	punct
6	proche	ADJ	1	amod
7	des	_	None	_
8	de	ADP	10	case
9	les	DET	10	det
10	différents	ADJ	10	amod
11	moyens	NOUN	6	obl:arg
12	de	ADP	12	case
13	transports	NOUN	10	nmod
14	tels	ADJ	10	amod
15	que	SCONJ	16	case
16	le	DET	16	det
17	tram	NOUN	13	obj
18	et	CCONJ	19	cc
19	le	DET	19	det
20	bus	NOUN	16	conj
21	qui	PRON	21	nsubj
22	permettent	VERB	10	acl:relcl
23	de	ADP	23	mark
24	circuler	VERB	21	xcomp:obj
25	facilement	ADV	23	advmod
26	dans	ADP	28	case
27	cette	DET	28	det
28	belle	ADJ	28	amod
29	ville	NOUN	23	obl:mod
30	.	PUNCT	1	punct