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:
Le chiffre de 60 000 morts sera plus tard diffusé par la propagande nazie et l'évènement, connu sous le nom de Dimanche sanglant de Bydgoszcz, exploité pour justifier la répression contre les Polonais.
Postion	Tokenization
1	Le
2	chiffre
3	de
4	60 000
5	morts
6	sera
7	plus
8	tard
9	diffusé
10	par
11	la
12	propagande
13	nazie
14	et
15	l'
16	évènement
17	,
18	connu
19	sous
20	le
21	nom
22	de
23	Dimanche
24	sanglant
25	de
26	Bydgoszcz
27	,
28	exploité
29	pour
30	justifier
31	la
32	répression
33	contre
34	les
35	Polonais
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	chiffre	NOUN	9	nsubj:pass
3	de	ADP	5	case
4	60 000	NUM	5	nummod
5	morts	NOUN	2	nmod
6	sera	AUX	9	aux:pass
7	plus	ADV	8	advmod
8	tard	ADV	9	advmod
9	diffusé	VERB	0	root
10	par	ADP	12	case
11	la	DET	12	det
12	propagande	NOUN	9	obl:agent
13	nazie	ADJ	12	amod
14	et	CCONJ	16	cc
15	l'	DET	16	det
16	évènement	NOUN	28	nsubj:pass
17	,	PUNCT	18	punct
18	connu	VERB	16	acl
19	sous	ADP	21	case
20	le	DET	21	det
21	nom	NOUN	18	obl:mod
22	de	ADP	23	case
23	Dimanche	PROPN	21	nmod
24	sanglant	ADJ	23	amod
25	de	ADP	26	case
26	Bydgoszcz	PROPN	23	nmod
27	,	PUNCT	28	punct
28	exploité	VERB	9	conj
29	pour	ADP	30	mark
30	justifier	VERB	28	advcl
31	la	DET	32	det
32	répression	NOUN	30	obj
33	contre	ADP	35	case
34	les	DET	35	det
35	Polonais	NOUN	32	nmod
36	.	PUNCT	9	punct