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:
Cependant, grâce à ses relations secrètes avec le domaine de Kubota, il a pu se soustraire à la punition du nouveau gouvernement Meiji.
Postion	Tokenization
1	Cependant
2	,
3	grâce
4	à
5	ses
6	relations
7	secrètes
8	avec
9	le
10	domaine
11	de
12	Kubota
13	,
14	il
15	a
16	pu
17	se
18	soustraire
19	à
20	la
21	punition
22	du
23	de
24	le
25	nouveau
26	gouvernement
27	Meiji
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Cependant	ADV	16	advmod
2	,	PUNCT	1	punct
3	grâce	NOUN	6	case
4	à	ADP	3	fixed
5	ses	DET	6	det
6	relations	NOUN	16	obl:mod
7	secrètes	ADJ	6	amod
8	avec	ADP	10	case
9	le	DET	10	det
10	domaine	NOUN	6	nmod
11	de	ADP	12	case
12	Kubota	PROPN	10	nmod
13	,	PUNCT	6	punct
14	il	PRON	16	nsubj
15	a	AUX	16	aux:tense
16	pu	VERB	0	root
17	se	PRON	18	obj
18	soustraire	VERB	16	xcomp:obj
19	à	ADP	21	case
20	la	DET	21	det
21	punition	NOUN	18	obl:arg
22	du	_	None	_
23	de	ADP	25	case
24	le	DET	25	det
25	nouveau	ADJ	25	amod
26	gouvernement	NOUN	21	nmod
27	Meiji	PROPN	25	appos
28	.	PUNCT	16	punct