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:
Les cantons, en particulier, pourraient comprendre l'imposition par la Confédération de leurs entreprises publiques comme une perte de souveraineté.
Postion	Tokenization
1	Les
2	cantons
3	,
4	en
5	particulier
6	,
7	pourraient
8	comprendre
9	l'
10	imposition
11	par
12	la
13	Confédération
14	de
15	leurs
16	entreprises
17	publiques
18	comme
19	une
20	perte
21	de
22	souveraineté
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Les	DET	2	det
2	cantons	NOUN	7	nsubj
3	,	PUNCT	2	punct
4	en	ADP	7	advmod
5	particulier	ADJ	4	fixed
6	,	PUNCT	4	punct
7	pourraient	VERB	0	root
8	comprendre	VERB	7	xcomp:obj
9	l'	DET	10	det
10	imposition	NOUN	8	obj
11	par	ADP	13	case
12	la	DET	13	det
13	Confédération	NOUN	10	nmod
14	de	ADP	16	case
15	leurs	DET	16	det
16	entreprises	NOUN	10	nmod
17	publiques	ADJ	16	amod
18	comme	ADP	20	case
19	une	DET	20	det
20	perte	NOUN	8	obl:mod
21	de	ADP	22	case
22	souveraineté	NOUN	20	nmod
23	.	PUNCT	7	punct