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:
Dans le film allemand de 1943, Titanic son rôle est joué par Erich Stelmecke, dans le film britannique du 1958 A Night to Remember, il est incarné par Kenneth More.
Postion	Tokenization
1	Dans
2	le
3	film
4	allemand
5	de
6	1943
7	,
8	Titanic
9	son
10	rôle
11	est
12	joué
13	par
14	Erich
15	Stelmecke
16	,
17	dans
18	le
19	film
20	britannique
21	du
22	de
23	le
24	1958
25	A
26	Night
27	to
28	Remember
29	,
30	il
31	est
32	incarné
33	par
34	Kenneth
35	More
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Dans	ADP	3	case
2	le	DET	3	det
3	film	NOUN	12	obl:mod
4	allemand	ADJ	3	amod
5	de	ADP	6	case
6	1943	NUM	3	nmod
7	,	PUNCT	8	punct
8	Titanic	PROPN	3	appos
9	son	DET	10	det
10	rôle	NOUN	12	nsubj:pass
11	est	AUX	12	aux:pass
12	joué	VERB	0	root
13	par	ADP	14	case
14	Erich	PROPN	12	obl:agent
15	Stelmecke	PROPN	14	flat:name
16	,	PUNCT	31	punct
17	dans	ADP	19	case
18	le	DET	19	det
19	film	NOUN	31	obl:mod
20	britannique	ADJ	19	amod
21	du	_	None	_
22	de	ADP	23	case
23	le	DET	23	det
24	1958	NUM	19	nmod
25	A	X	19	appos
26	Night	X	24	flat:foreign
27	to	X	25	flat:foreign
28	Remember	X	26	flat:foreign
29	,	PUNCT	19	punct
30	il	PRON	31	nsubj:pass
31	est	AUX	31	aux:pass
32	incarné	VERB	12	conj
33	par	ADP	33	case
34	Kenneth	PROPN	31	obl:agent
35	More	PROPN	33	flat:name
36	.	PUNCT	12	punct