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:
Une façon plus énergique de se saluer est kwanbu, à quoi on répondra kwamb uk uu, ce qui signifie : Et vous, comment allez-vous ?
Postion	Tokenization
1	Une
2	façon
3	plus
4	énergique
5	de
6	se
7	saluer
8	est
9	kwanbu
10	,
11	à
12	quoi
13	on
14	répondra
15	kwamb
16	uk
17	uu
18	,
19	ce
20	qui
21	signifie
22	:
23	Et
24	vous
25	,
26	comment
27	allez
28	-vous
29	?
Position	Tokenization	UPOS	Head	Deprel
1	Une	DET	2	det
2	façon	NOUN	9	nsubj
3	plus	ADV	4	advmod
4	énergique	ADJ	2	amod
5	de	ADP	7	mark
6	se	PRON	7	obj
7	saluer	VERB	2	acl
8	est	AUX	9	cop
9	kwanbu	X	0	root
10	,	PUNCT	14	punct
11	à	ADP	12	case
12	quoi	PRON	14	obl:arg
13	on	PRON	14	nsubj
14	répondra	VERB	9	acl:relcl
15	kwamb	X	17	nmod
16	uk	X	17	nmod
17	uu	X	14	obj
18	,	PUNCT	19	punct
19	ce	PRON	17	appos
20	qui	PRON	21	nsubj
21	signifie	VERB	19	acl:relcl
22	:	PUNCT	27	punct
23	Et	CCONJ	24	cc
24	vous	PRON	27	obl:mod
25	,	PUNCT	24	punct
26	comment	ADV	27	advmod
27	allez	VERB	21	ccomp:obj
28	-vous	PRON	27	nsubj
29	?	PUNCT	9	punct