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:
Pour John Grant, malgré sa forme similaire Le Crapaud et le Maître d'école (1949), un découpage en deux moyens métrages, ce film est « beaucoup moins ambitieux mais plus charmant.
Postion	Tokenization
1	Pour
2	John
3	Grant
4	,
5	malgré
6	sa
7	forme
8	similaire
9	Le
10	Crapaud
11	et
12	le
13	Maître
14	d'
15	école
16	(
17	1949
18	)
19	,
20	un
21	découpage
22	en
23	deux
24	moyens
25	métrages
26	,
27	ce
28	film
29	est
30	«
31	beaucoup
32	moins
33	ambitieux
34	mais
35	plus
36	charmant
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Pour	ADP	2	case
2	John	PROPN	33	obl:mod
3	Grant	PROPN	2	flat:name
4	,	PUNCT	2	punct
5	malgré	ADP	7	case
6	sa	DET	7	det
7	forme	NOUN	33	obl:mod
8	similaire	ADJ	7	amod
9	Le	DET	10	det
10	Crapaud	NOUN	7	appos
11	et	CCONJ	13	cc
12	le	DET	13	det
13	Maître	NOUN	10	conj
14	d'	ADP	15	case
15	école	NOUN	13	nmod
16	(	PUNCT	17	punct
17	1949	NUM	10	nmod
18	)	PUNCT	17	punct
19	,	PUNCT	21	punct
20	un	DET	21	det
21	découpage	NOUN	7	appos
22	en	ADP	25	case
23	deux	NUM	25	nummod
24	moyens	ADJ	25	amod
25	métrages	NOUN	21	nmod
26	,	PUNCT	21	punct
27	ce	DET	28	det
28	film	NOUN	33	nsubj
29	est	AUX	33	cop
30	«	PUNCT	33	punct
31	beaucoup	ADV	32	advmod
32	moins	ADV	33	advmod
33	ambitieux	ADJ	0	root
34	mais	CCONJ	36	cc
35	plus	ADV	36	advmod
36	charmant	ADJ	33	conj
37	.	PUNCT	33	punct