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:
Dans les années qui suivent, il est plus intéressé par l'augmentation de sa propre puissance dans le Berkshire et le Wiltshire.
Postion	Tokenization
1	Dans
2	les
3	années
4	qui
5	suivent
6	,
7	il
8	est
9	plus
10	intéressé
11	par
12	l'
13	augmentation
14	de
15	sa
16	propre
17	puissance
18	dans
19	le
20	Berkshire
21	et
22	le
23	Wiltshire
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Dans	ADP	3	case
2	les	DET	3	det
3	années	NOUN	10	obl:mod
4	qui	PRON	5	nsubj
5	suivent	VERB	3	acl:relcl
6	,	PUNCT	3	punct
7	il	PRON	10	nsubj:pass
8	est	AUX	10	aux:pass
9	plus	ADV	10	advmod
10	intéressé	VERB	0	root
11	par	ADP	13	case
12	l'	DET	13	det
13	augmentation	NOUN	10	obl:agent
14	de	ADP	17	case
15	sa	DET	17	det
16	propre	ADJ	17	amod
17	puissance	NOUN	13	nmod
18	dans	ADP	20	case
19	le	DET	20	det
20	Berkshire	PROPN	17	nmod
21	et	CCONJ	23	cc
22	le	DET	23	det
23	Wiltshire	PROPN	20	conj
24	.	PUNCT	10	punct