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:
C'est justement à côté de cette dernière rue, dans la rue de Lectoure, qu'en 1988, Bubendorff S.A. installe son siège social situé dans l'ancienne usine Société mécanique du Haut-Rhin ce qui permet le doublement de sa capacité de production sur de surface couverte.
Postion	Tokenization
1	C'
2	est
3	justement
4	à
5	côté
6	de
7	cette
8	dernière
9	rue
10	,
11	dans
12	la
13	rue
14	de
15	Lectoure
16	,
17	qu'
18	en
19	1988
20	,
21	Bubendorff
22	S.A.
23	installe
24	son
25	siège
26	social
27	situé
28	dans
29	l'
30	ancienne
31	usine
32	Société
33	mécanique
34	du
35	de
36	le
37	Haut-Rhin
38	ce
39	qui
40	permet
41	le
42	doublement
43	de
44	sa
45	capacité
46	de
47	production
48	sur
49	de
50	surface
51	couverte
52	.
Position	Tokenization	UPOS	Head	Deprel
1	C'	PRON	4	expl:subj
2	est	AUX	4	cop
3	justement	ADV	4	advmod
4	à	ADP	0	root
5	côté	NOUN	4	fixed
6	de	ADP	9	case
7	cette	DET	9	det
8	dernière	ADJ	9	amod
9	rue	NOUN	4	obl:arg
10	,	PUNCT	13	punct
11	dans	ADP	13	case
12	la	DET	13	det
13	rue	NOUN	4	parataxis
14	de	ADP	15	case
15	Lectoure	PROPN	13	nmod
16	,	PUNCT	13	punct
17	qu'	SCONJ	23	mark
18	en	ADP	19	case
19	1988	NUM	23	obl:mod
20	,	PUNCT	19	punct
21	Bubendorff	PROPN	23	nsubj
22	S.A.	X	21	flat:name
23	installe	VERB	4	advcl:cleft
24	son	DET	25	det
25	siège	NOUN	23	obj
26	social	ADJ	25	amod
27	situé	VERB	25	acl
28	dans	ADP	31	case
29	l'	DET	31	det
30	ancienne	ADJ	31	amod
31	usine	NOUN	27	obl:arg
32	Société	PROPN	31	appos
33	mécanique	ADJ	32	amod
34	du	_	None	_
35	de	ADP	36	case
36	le	DET	36	det
37	Haut-Rhin	PROPN	32	nmod
38	ce	PRON	25	appos
39	qui	PRON	39	nsubj
40	permet	VERB	37	acl:relcl
41	le	DET	41	det
42	doublement	NOUN	39	obj
43	de	ADP	44	case
44	sa	DET	44	det
45	capacité	NOUN	41	nmod
46	de	ADP	46	case
47	production	NOUN	44	nmod
48	sur	ADP	49	case
49	de	DET	49	det
50	surface	NOUN	41	nmod
51	couverte	ADJ	49	amod
52	.	PUNCT	4	punct