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:
Si, avec son 42ème film "Minuit à Paris", l'univers de Woody Allen ne change pas, sa molle incursion dans le Paris présent et passé devient rapidement magique.
Postion	Tokenization
1	Si
2	,
3	avec
4	son
5	42ème
6	film
7	"
8	Minuit
9	à
10	Paris
11	"
12	,
13	l'
14	univers
15	de
16	Woody
17	Allen
18	ne
19	change
20	pas
21	,
22	sa
23	molle
24	incursion
25	dans
26	le
27	Paris
28	présent
29	et
30	passé
31	devient
32	rapidement
33	magique
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Si	SCONJ	19	mark
2	,	PUNCT	6	punct
3	avec	ADP	6	case
4	son	DET	6	det
5	42ème	ADJ	6	amod
6	film	NOUN	19	obl:mod
7	"	PUNCT	8	punct
8	Minuit	PROPN	6	appos
9	à	ADP	10	case
10	Paris	PROPN	8	nmod
11	"	PUNCT	8	punct
12	,	PUNCT	6	punct
13	l'	DET	14	det
14	univers	NOUN	19	nsubj
15	de	ADP	16	case
16	Woody	PROPN	14	nmod
17	Allen	PROPN	16	flat:name
18	ne	ADV	19	advmod
19	change	VERB	31	advcl
20	pas	ADV	19	advmod
21	,	PUNCT	19	punct
22	sa	DET	24	det
23	molle	ADJ	24	amod
24	incursion	NOUN	31	nsubj
25	dans	ADP	27	case
26	le	DET	27	det
27	Paris	PROPN	24	nmod
28	présent	ADJ	27	amod
29	et	CCONJ	30	cc
30	passé	ADJ	28	conj
31	devient	VERB	0	root
32	rapidement	ADV	31	advmod
33	magique	ADJ	31	xcomp:pred
34	.	PUNCT	31	punct