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:
Pour couronner le tout, les plats étaient bien tièdes... En bref, nous avons demandé un geste commercial pour les désagréments causés, mais en vain.
Postion	Tokenization
1	Pour
2	couronner
3	le
4	tout
5	,
6	les
7	plats
8	étaient
9	bien
10	tièdes
11	...
12	En
13	bref
14	,
15	nous
16	avons
17	demandé
18	un
19	geste
20	commercial
21	pour
22	les
23	désagréments
24	causés
25	,
26	mais
27	en
28	vain
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Pour	ADP	2	mark
2	couronner	VERB	10	advcl
3	le	DET	4	det
4	tout	NOUN	2	obj
5	,	PUNCT	2	punct
6	les	DET	7	det
7	plats	NOUN	10	nsubj
8	étaient	AUX	10	cop
9	bien	ADV	10	advmod
10	tièdes	ADJ	0	root
11	...	PUNCT	17	punct
12	En	ADP	17	advmod
13	bref	ADJ	12	fixed
14	,	PUNCT	12	punct
15	nous	PRON	17	nsubj
16	avons	AUX	17	aux:tense
17	demandé	VERB	10	parataxis
18	un	DET	19	det
19	geste	NOUN	17	obj
20	commercial	ADJ	19	amod
21	pour	ADP	23	case
22	les	DET	23	det
23	désagréments	NOUN	17	obl:mod
24	causés	VERB	23	acl
25	,	PUNCT	27	punct
26	mais	CCONJ	27	cc
27	en	ADP	17	conj
28	vain	ADJ	27	fixed
29	.	PUNCT	10	punct