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:
La CGT a organisé jeudi 22 septembre une journée nationale d'action demandant un "statut social de haut niveau" pour les 35 000 salariés de la sous-traitance du nucléaire.
Postion	Tokenization
1	La
2	CGT
3	a
4	organisé
5	jeudi
6	22
7	septembre
8	une
9	journée
10	nationale
11	d'
12	action
13	demandant
14	un
15	"
16	statut
17	social
18	de
19	haut
20	niveau
21	"
22	pour
23	les
24	35 000
25	salariés
26	de
27	la
28	sous-traitance
29	du
30	de
31	le
32	nucléaire
33	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	CGT	PROPN	4	nsubj
3	a	AUX	4	aux:tense
4	organisé	VERB	0	root
5	jeudi	NOUN	4	obl:mod
6	22	NUM	5	nmod
7	septembre	NOUN	6	nmod
8	une	DET	9	det
9	journée	NOUN	4	obj
10	nationale	ADJ	9	amod
11	d'	ADP	12	case
12	action	NOUN	9	nmod
13	demandant	VERB	9	acl
14	un	DET	16	det
15	"	PUNCT	16	punct
16	statut	NOUN	13	obj
17	social	ADJ	16	amod
18	de	ADP	20	case
19	haut	ADJ	20	amod
20	niveau	NOUN	16	nmod
21	"	PUNCT	16	punct
22	pour	ADP	25	case
23	les	DET	25	det
24	35 000	NUM	25	nummod
25	salariés	NOUN	13	obl:mod
26	de	ADP	28	case
27	la	DET	28	det
28	sous-traitance	NOUN	25	nmod
29	du	_	None	_
30	de	ADP	31	case
31	le	DET	31	det
32	nucléaire	NOUN	28	nmod
33	.	PUNCT	4	punct