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:
» Courant d'un foyer juif à l'autre « pour vous raconter ma mort », il leur apprend le destin du train des déportés : pris en charge par la Gestapo, la police secrète allemande, après avoir traversé la frontière polonaise, les Juifs furent menés en camions dans la forêt de Galicie, près de Kolomaye, où on leur fit creuser de larges fosses.
Postion	Tokenization
1	»
2	Courant
3	d'
4	un
5	foyer
6	juif
7	à
8	l'
9	autre
10	«
11	pour
12	vous
13	raconter
14	ma
15	mort
16	»
17	,
18	il
19	leur
20	apprend
21	le
22	destin
23	du
24	de
25	le
26	train
27	des
28	de
29	les
30	déportés
31	:
32	pris
33	en
34	charge
35	par
36	la
37	Gestapo
38	,
39	la
40	police
41	secrète
42	allemande
43	,
44	après
45	avoir
46	traversé
47	la
48	frontière
49	polonaise
50	,
51	les
52	Juifs
53	furent
54	menés
55	en
56	camions
57	dans
58	la
59	forêt
60	de
61	Galicie
62	,
63	près
64	de
65	Kolomaye
66	,
67	où
68	on
69	leur
70	fit
71	creuser
72	de
73	larges
74	fosses
75	.
Position	Tokenization	UPOS	Head	Deprel
1	»	PUNCT	20	punct
2	Courant	VERB	20	advcl
3	d'	ADP	5	case
4	un	DET	5	det
5	foyer	NOUN	2	obl:arg
6	juif	ADJ	5	amod
7	à	ADP	9	case
8	l'	DET	9	det
9	autre	PRON	5	nmod
10	«	PUNCT	13	punct
11	pour	ADP	13	mark
12	vous	PRON	13	obl:arg
13	raconter	VERB	2	advcl
14	ma	DET	15	det
15	mort	NOUN	13	obj
16	»	PUNCT	13	punct
17	,	PUNCT	2	punct
18	il	PRON	20	nsubj
19	leur	PRON	20	obl:arg
20	apprend	VERB	0	root
21	le	DET	22	det
22	destin	NOUN	20	obj
23	du	_	None	_
24	de	ADP	25	case
25	le	DET	25	det
26	train	NOUN	22	nmod
27	des	_	None	_
28	de	ADP	28	case
29	les	DET	28	det
30	déportés	NOUN	25	nmod
31	:	PUNCT	52	punct
32	pris	VERB	52	advcl
33	en	ADP	32	case
34	charge	NOUN	30	obl:mod
35	par	ADP	35	case
36	la	DET	35	det
37	Gestapo	PROPN	30	obl:agent
38	,	PUNCT	38	punct
39	la	DET	38	det
40	police	NOUN	35	appos
41	secrète	ADJ	38	amod
42	allemande	ADJ	38	amod
43	,	PUNCT	30	punct
44	après	ADP	44	mark
45	avoir	AUX	44	aux:tense
46	traversé	VERB	52	advcl
47	la	DET	46	det
48	frontière	NOUN	44	obj
49	polonaise	ADJ	46	amod
50	,	PUNCT	44	punct
51	les	DET	50	det
52	Juifs	NOUN	52	nsubj:pass
53	furent	AUX	52	aux:pass
54	menés	VERB	22	parataxis
55	en	ADP	54	case
56	camions	NOUN	52	obl:mod
57	dans	ADP	57	case
58	la	DET	57	det
59	forêt	NOUN	52	obl:arg
60	de	ADP	59	case
61	Galicie	PROPN	57	nmod
62	,	PUNCT	61	punct
63	près	ADV	57	advmod
64	de	ADP	63	case
65	Kolomaye	PROPN	61	obl:arg
66	,	PUNCT	69	punct
67	où	ADV	69	advmod
68	on	PRON	69	nsubj:caus
69	leur	PRON	69	iobj:agent
70	fit	AUX	69	aux:caus
71	creuser	VERB	57	acl:relcl
72	de	DET	72	det
73	larges	ADJ	72	amod
74	fosses	NOUN	69	obj
75	.	PUNCT	20	punct