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:
Dans les grandes surfaces de vente et les installations de l'industrie tertiaire, il a des compétences : de l'électricien du bâtiment, de l'électricien courant faible et de l'électricien industriel.
Postion	Tokenization
1	Dans
2	les
3	grandes
4	surfaces
5	de
6	vente
7	et
8	les
9	installations
10	de
11	l'
12	industrie
13	tertiaire
14	,
15	il
16	a
17	des
18	compétences
19	:
20	de
21	l'
22	électricien
23	du
24	de
25	le
26	bâtiment
27	,
28	de
29	l'
30	électricien
31	courant
32	faible
33	et
34	de
35	l'
36	électricien
37	industriel
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Dans	ADP	4	case
2	les	DET	4	det
3	grandes	ADJ	4	amod
4	surfaces	NOUN	16	obl:mod
5	de	ADP	6	case
6	vente	NOUN	4	nmod
7	et	CCONJ	9	cc
8	les	DET	9	det
9	installations	NOUN	4	conj
10	de	ADP	12	case
11	l'	DET	12	det
12	industrie	NOUN	9	nmod
13	tertiaire	ADJ	12	amod
14	,	PUNCT	4	punct
15	il	PRON	16	nsubj
16	a	VERB	0	root
17	des	DET	18	det
18	compétences	NOUN	16	obj:lvc
19	:	PUNCT	22	punct
20	de	ADP	22	case
21	l'	DET	22	det
22	électricien	NOUN	18	appos
23	du	_	None	_
24	de	ADP	25	case
25	le	DET	25	det
26	bâtiment	NOUN	22	nmod
27	,	PUNCT	29	punct
28	de	ADP	29	case
29	l'	DET	29	det
30	électricien	NOUN	22	conj
31	courant	NOUN	29	appos
32	faible	ADJ	30	amod
33	et	CCONJ	35	cc
34	de	ADP	35	case
35	l'	DET	35	det
36	électricien	NOUN	22	conj
37	industriel	ADJ	35	amod
38	.	PUNCT	16	punct