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:
Ils sont aussi le fruit d'une industrialisation progressive du secteur du bâtiment et, notamment en France, des procédés de préfabrication en béton.
Postion	Tokenization
1	Ils
2	sont
3	aussi
4	le
5	fruit
6	d'
7	une
8	industrialisation
9	progressive
10	du
11	de
12	le
13	secteur
14	du
15	de
16	le
17	bâtiment
18	et
19	,
20	notamment
21	en
22	France
23	,
24	des
25	de
26	les
27	procédés
28	de
29	préfabrication
30	en
31	béton
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Ils	PRON	5	nsubj
2	sont	AUX	5	cop
3	aussi	ADV	5	advmod
4	le	DET	5	det
5	fruit	NOUN	0	root
6	d'	ADP	8	case
7	une	DET	8	det
8	industrialisation	NOUN	5	nmod
9	progressive	ADJ	8	amod
10	du	_	None	_
11	de	ADP	12	case
12	le	DET	12	det
13	secteur	NOUN	8	nmod
14	du	_	None	_
15	de	ADP	15	case
16	le	DET	15	det
17	bâtiment	NOUN	12	nmod
18	et	CCONJ	24	cc
19	,	PUNCT	16	punct
20	notamment	ADV	20	advmod
21	en	ADP	20	case
22	France	PROPN	24	nmod
23	,	PUNCT	20	punct
24	des	_	None	_
25	de	ADP	24	case
26	les	DET	24	det
27	procédés	NOUN	12	conj
28	de	ADP	26	case
29	préfabrication	NOUN	24	nmod
30	en	ADP	28	case
31	béton	NOUN	26	nmod
32	.	PUNCT	5	punct