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 ne s'arrête pas là, puisque plusieurs sites et initiatives ont vu le jour en grande partie grâce à lui, telles que récemment, une vente de bracelets afin de récolter des fonds pour l'environnement, ou encore les sites A beautiful Lie ou encore The Echelon House.
Postion	Tokenization
1	Son
2	influence
3	ne
4	s'
5	arrête
6	pas
7	là
8	,
9	puisque
10	plusieurs
11	sites
12	et
13	initiatives
14	ont
15	vu
16	le
17	jour
18	en
19	grande
20	partie
21	grâce
22	à
23	lui
24	,
25	telles
26	que
27	récemment
28	,
29	une
30	vente
31	de
32	bracelets
33	afin
34	de
35	récolter
36	des
37	fonds
38	pour
39	l'
40	environnement
41	,
42	ou
43	encore
44	les
45	sites
46	A
47	beautiful
48	Lie
49	ou
50	encore
51	The
52	Echelon
53	House
54	.
Position	Tokenization	UPOS	Head	Deprel
1	Son	DET	2	det
2	influence	NOUN	5	nsubj:pass
3	ne	ADV	5	advmod
4	s'	PRON	5	expl:pass
5	arrête	VERB	0	root
6	pas	ADV	5	advmod
7	là	ADV	5	advmod
8	,	PUNCT	15	punct
9	puisque	SCONJ	15	mark
10	plusieurs	DET	11	det
11	sites	NOUN	15	nsubj
12	et	CCONJ	13	cc
13	initiatives	NOUN	11	conj
14	ont	AUX	15	aux:tense
15	vu	VERB	5	advcl
16	le	DET	17	det
17	jour	NOUN	15	obj
18	en	ADP	20	case
19	grande	ADJ	20	amod
20	partie	NOUN	15	obl:mod
21	grâce	NOUN	23	case
22	à	ADP	21	fixed
23	lui	PRON	15	obl:mod
24	,	PUNCT	25	punct
25	telles	ADJ	15	advcl
26	que	SCONJ	30	case
27	récemment	ADV	30	advmod
28	,	PUNCT	27	punct
29	une	DET	30	det
30	vente	NOUN	25	obj
31	de	ADP	32	case
32	bracelets	NOUN	30	nmod
33	afin	ADV	30	advmod
34	de	ADP	35	mark
35	récolter	VERB	33	ccomp:obj
36	des	DET	37	det
37	fonds	NOUN	35	obj
38	pour	ADP	40	case
39	l'	DET	40	det
40	environnement	NOUN	37	nmod
41	,	PUNCT	45	punct
42	ou	CCONJ	45	cc
43	encore	ADV	45	advmod
44	les	DET	45	det
45	sites	NOUN	30	conj
46	A	X	45	appos
47	beautiful	X	46	flat:foreign
48	Lie	X	47	flat:foreign
49	ou	CCONJ	51	cc
50	encore	ADV	51	advmod
51	The	X	30	conj
52	Echelon	X	51	flat:foreign
53	House	X	52	flat:foreign
54	.	PUNCT	5	punct