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 rassurer l'agent français, le Pacha envoya un homme avec ce message : " Combien de mains exiges-tu qu'on t'apporte sur un plat ?
Postion	Tokenization
1	Pour
2	rassurer
3	l'
4	agent
5	français
6	,
7	le
8	Pacha
9	envoya
10	un
11	homme
12	avec
13	ce
14	message
15	:
16	"
17	Combien
18	de
19	mains
20	exiges
21	-tu
22	qu'
23	on
24	t'
25	apporte
26	sur
27	un
28	plat
29	?
Position	Tokenization	UPOS	Head	Deprel
1	Pour	ADP	2	mark
2	rassurer	VERB	9	advcl
3	l'	DET	4	det
4	agent	NOUN	2	obj
5	français	ADJ	4	amod
6	,	PUNCT	2	punct
7	le	DET	8	det
8	Pacha	PROPN	9	nsubj
9	envoya	VERB	0	root
10	un	DET	11	det
11	homme	NOUN	9	obj
12	avec	ADP	14	case
13	ce	DET	14	det
14	message	NOUN	11	nmod
15	:	PUNCT	20	punct
16	"	PUNCT	20	punct
17	Combien	ADV	25	obj
18	de	ADP	19	case
19	mains	NOUN	17	dep:comp
20	exiges	VERB	14	parataxis
21	-tu	PRON	20	nsubj
22	qu'	SCONJ	25	mark
23	on	PRON	25	nsubj
24	t'	PRON	25	obl:arg
25	apporte	VERB	20	ccomp:obj
26	sur	ADP	28	case
27	un	DET	28	det
28	plat	NOUN	25	obl:mod
29	?	PUNCT	20	punct