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:
Son influence est croissante à l'étranger dans les années 2000, notamment au Japon, en Thaïlande, en Australie et en Angleterre (surtout à Londres et Manchester).
Postion	Tokenization
1	Son
2	influence
3	est
4	croissante
5	à
6	l'
7	étranger
8	dans
9	les
10	années
11	2000
12	,
13	notamment
14	au
15	à
16	le
17	Japon
18	,
19	en
20	Thaïlande
21	,
22	en
23	Australie
24	et
25	en
26	Angleterre
27	(
28	surtout
29	à
30	Londres
31	et
32	Manchester
33	)
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Son	DET	2	det
2	influence	NOUN	4	nsubj
3	est	AUX	4	cop
4	croissante	ADJ	0	root
5	à	ADP	7	case
6	l'	DET	7	det
7	étranger	NOUN	4	obl:mod
8	dans	ADP	10	case
9	les	DET	10	det
10	années	NOUN	4	obl:mod
11	2000	NUM	10	nmod
12	,	PUNCT	16	punct
13	notamment	ADV	16	advmod
14	au	_	None	_
15	à	ADP	16	case
16	le	DET	16	det
17	Japon	PROPN	4	obl:mod
18	,	PUNCT	19	punct
19	en	ADP	19	case
20	Thaïlande	PROPN	16	conj
21	,	PUNCT	22	punct
22	en	ADP	22	case
23	Australie	PROPN	16	conj
24	et	CCONJ	25	cc
25	en	ADP	25	case
26	Angleterre	PROPN	16	conj
27	(	PUNCT	29	punct
28	surtout	ADV	29	advmod
29	à	ADP	29	case
30	Londres	PROPN	25	nmod
31	et	CCONJ	31	cc
32	Manchester	PROPN	29	conj
33	)	PUNCT	29	punct
34	.	PUNCT	4	punct