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 types d'industries dominantes parmi les investisseurs de la ZES sont les industries chimiques, mécaniques, textiles, de la menuiserie, du papier, de la construction et de l'alimentation.
Postion	Tokenization
1	Les
2	types
3	d'
4	industries
5	dominantes
6	parmi
7	les
8	investisseurs
9	de
10	la
11	ZES
12	sont
13	les
14	industries
15	chimiques
16	,
17	mécaniques
18	,
19	textiles
20	,
21	de
22	la
23	menuiserie
24	,
25	du
26	de
27	le
28	papier
29	,
30	de
31	la
32	construction
33	et
34	de
35	l'
36	alimentation
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Les	DET	2	det
2	types	NOUN	14	nsubj
3	d'	ADP	4	case
4	industries	NOUN	2	nmod
5	dominantes	ADJ	4	amod
6	parmi	ADP	8	case
7	les	DET	8	det
8	investisseurs	NOUN	2	nmod
9	de	ADP	11	case
10	la	DET	11	det
11	ZES	PROPN	8	nmod
12	sont	AUX	14	cop
13	les	DET	14	det
14	industries	NOUN	0	root
15	chimiques	ADJ	14	amod
16	,	PUNCT	17	punct
17	mécaniques	ADJ	15	conj
18	,	PUNCT	19	punct
19	textiles	NOUN	15	conj
20	,	PUNCT	23	punct
21	de	ADP	23	case
22	la	DET	23	det
23	menuiserie	NOUN	15	conj
24	,	PUNCT	27	punct
25	du	_	None	_
26	de	ADP	27	case
27	le	DET	27	det
28	papier	NOUN	15	conj
29	,	PUNCT	31	punct
30	de	ADP	31	case
31	la	DET	31	det
32	construction	NOUN	15	conj
33	et	CCONJ	35	cc
34	de	ADP	35	case
35	l'	DET	35	det
36	alimentation	NOUN	15	conj
37	.	PUNCT	14	punct