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:
Le Dr Melfi est impressionnée par Tony et le fait qu'il ait été capable de lui trouver une table alors que l'hôtesse (Adriana La Cerva) avait au départ indiqué que le restaurant était plein.
Postion	Tokenization
1	Le
2	Dr
3	Melfi
4	est
5	impressionnée
6	par
7	Tony
8	et
9	le
10	fait
11	qu'
12	il
13	ait
14	été
15	capable
16	de
17	lui
18	trouver
19	une
20	table
21	alors
22	que
23	l'
24	hôtesse
25	(
26	Adriana
27	La
28	Cerva
29	)
30	avait
31	au
32	à
33	le
34	départ
35	indiqué
36	que
37	le
38	restaurant
39	était
40	plein
41	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	3	det
2	Dr	NOUN	3	nmod
3	Melfi	PROPN	5	nsubj:pass
4	est	AUX	5	aux:pass
5	impressionnée	VERB	0	root
6	par	ADP	7	case
7	Tony	PROPN	5	obl:agent
8	et	CCONJ	10	cc
9	le	DET	10	det
10	fait	NOUN	7	conj
11	qu'	SCONJ	15	mark
12	il	PRON	15	nsubj
13	ait	AUX	15	aux:tense
14	été	AUX	15	cop
15	capable	ADJ	10	acl
16	de	ADP	18	mark
17	lui	PRON	18	obl:arg
18	trouver	VERB	15	xcomp:obl
19	une	DET	20	det
20	table	NOUN	18	obj
21	alors	ADV	34	mark
22	que	SCONJ	21	fixed
23	l'	DET	24	det
24	hôtesse	NOUN	34	nsubj
25	(	PUNCT	26	punct
26	Adriana	PROPN	24	appos
27	La	DET	26	flat:name
28	Cerva	PROPN	27	flat:name
29	)	PUNCT	26	punct
30	avait	AUX	34	aux:tense
31	au	_	None	_
32	à	ADP	33	case
33	le	DET	33	det
34	départ	NOUN	34	obl:mod
35	indiqué	VERB	15	advcl
36	que	SCONJ	39	mark
37	le	DET	37	det
38	restaurant	NOUN	39	nsubj
39	était	AUX	39	cop
40	plein	ADJ	34	ccomp:obj
41	.	PUNCT	5	punct