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:
Meyrick Edward Clifton James (1898--8 mai 1963) était un acteur et soldat, connu pour avoir été le sosie du maréchal Bernard Montgomery.
Postion	Tokenization
1	Meyrick
2	Edward
3	Clifton
4	James
5	(
6	1898
7	--
8	8
9	mai
10	1963
11	)
12	était
13	un
14	acteur
15	et
16	soldat
17	,
18	connu
19	pour
20	avoir
21	été
22	le
23	sosie
24	du
25	de
26	le
27	maréchal
28	Bernard
29	Montgomery
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Meyrick	PROPN	14	nsubj
2	Edward	PROPN	1	flat:name
3	Clifton	PROPN	2	flat:name
4	James	PROPN	3	flat:name
5	(	PUNCT	6	punct
6	1898	NUM	1	nmod
7	--	PUNCT	8	punct
8	8	NUM	6	nmod
9	mai	NOUN	8	nmod
10	1963	NUM	9	nmod
11	)	PUNCT	6	punct
12	était	AUX	14	cop
13	un	DET	14	det
14	acteur	NOUN	0	root
15	et	CCONJ	16	cc
16	soldat	NOUN	14	conj
17	,	PUNCT	18	punct
18	connu	VERB	14	acl
19	pour	ADP	23	mark
20	avoir	AUX	23	aux:tense
21	été	AUX	23	cop
22	le	DET	23	det
23	sosie	NOUN	18	xcomp:obl
24	du	_	None	_
25	de	ADP	26	case
26	le	DET	26	det
27	maréchal	NOUN	23	nmod
28	Bernard	PROPN	26	appos
29	Montgomery	PROPN	27	flat:name
30	.	PUNCT	14	punct