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:
Elles amènent l'éditeur parisien Charles Philipon à lui proposer de s'installer à Paris où à partir de 1847 il suit les cours du lycée Charlemagne et dessine en même temps des caricatures pour le Journal pour rire de Philippon.
Postion	Tokenization
1	Elles
2	amènent
3	l'
4	éditeur
5	parisien
6	Charles
7	Philipon
8	à
9	lui
10	proposer
11	de
12	s'
13	installer
14	à
15	Paris
16	où
17	à
18	partir
19	de
20	1847
21	il
22	suit
23	les
24	cours
25	du
26	de
27	le
28	lycée
29	Charlemagne
30	et
31	dessine
32	en
33	même
34	temps
35	des
36	caricatures
37	pour
38	le
39	Journal
40	pour
41	rire
42	de
43	Philippon
44	.
Position	Tokenization	UPOS	Head	Deprel
1	Elles	PRON	2	nsubj
2	amènent	VERB	0	root
3	l'	DET	4	det
4	éditeur	NOUN	2	obj
5	parisien	ADJ	4	amod
6	Charles	PROPN	4	appos
7	Philipon	PROPN	6	flat:name
8	à	ADP	10	mark
9	lui	PRON	10	obl:arg
10	proposer	VERB	2	xcomp:obl
11	de	ADP	13	mark
12	s'	PRON	13	obj
13	installer	VERB	10	xcomp:obj
14	à	ADP	15	case
15	Paris	PROPN	13	obl:arg
16	où	ADV	22	advmod
17	à	ADP	22	advmod
18	partir	VERB	17	fixed
19	de	ADP	20	case
20	1847	NUM	17	obl:arg
21	il	PRON	22	nsubj
22	suit	VERB	15	acl:relcl
23	les	DET	24	det
24	cours	NOUN	22	obj
25	du	_	None	_
26	de	ADP	27	case
27	le	DET	27	det
28	lycée	NOUN	24	nmod
29	Charlemagne	PROPN	27	appos
30	et	CCONJ	30	cc
31	dessine	VERB	22	conj
32	en	ADP	30	advmod
33	même	ADJ	31	fixed
34	temps	NOUN	31	fixed
35	des	DET	35	det
36	caricatures	NOUN	30	obj
37	pour	ADP	38	case
38	le	DET	38	det
39	Journal	NOUN	35	nmod
40	pour	ADP	40	mark
41	rire	VERB	30	advcl
42	de	ADP	42	case
43	Philippon	PROPN	40	obl:arg
44	.	PUNCT	2	punct