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:
Les grévistes dénoncent une dégradation de leurs conditions de travail, à l'origine selon eux de l'usure et de la fatigue qui peuvent mener à des accidents tels que la catastrophe de Hal.
Postion	Tokenization
1	Les
2	grévistes
3	dénoncent
4	une
5	dégradation
6	de
7	leurs
8	conditions
9	de
10	travail
11	,
12	à
13	l'
14	origine
15	selon
16	eux
17	de
18	l'
19	usure
20	et
21	de
22	la
23	fatigue
24	qui
25	peuvent
26	mener
27	à
28	des
29	accidents
30	tels
31	que
32	la
33	catastrophe
34	de
35	Hal
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Les	DET	2	det
2	grévistes	NOUN	3	nsubj
3	dénoncent	VERB	0	root
4	une	DET	5	det
5	dégradation	NOUN	3	obj
6	de	ADP	8	case
7	leurs	DET	8	det
8	conditions	NOUN	5	nmod
9	de	ADP	10	case
10	travail	NOUN	8	nmod
11	,	PUNCT	14	punct
12	à	ADP	14	case
13	l'	DET	14	det
14	origine	NOUN	3	obl:mod
15	selon	ADP	16	case
16	eux	PRON	14	nmod
17	de	ADP	19	case
18	l'	DET	19	det
19	usure	NOUN	14	nmod
20	et	CCONJ	23	cc
21	de	ADP	23	case
22	la	DET	23	det
23	fatigue	NOUN	19	conj
24	qui	PRON	25	nsubj
25	peuvent	VERB	23	acl:relcl
26	mener	VERB	25	xcomp:obj
27	à	ADP	29	case
28	des	DET	29	det
29	accidents	NOUN	26	obl:arg
30	tels	ADJ	29	amod
31	que	SCONJ	33	case
32	la	DET	33	det
33	catastrophe	NOUN	30	obj
34	de	ADP	35	case
35	Hal	PROPN	33	nmod
36	.	PUNCT	3	punct