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:
Et pour des constructions anciennes, il peut s'agir de réornementation avec retour à l'aspect initial ou à l'inverse d'ajout de différences qui les modernise.
Postion	Tokenization
1	Et
2	pour
3	des
4	constructions
5	anciennes
6	,
7	il
8	peut
9	s'
10	agir
11	de
12	réornementation
13	avec
14	retour
15	à
16	l'
17	aspect
18	initial
19	ou
20	à
21	l'
22	inverse
23	d'
24	ajout
25	de
26	différences
27	qui
28	les
29	modernise
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Et	CCONJ	8	cc
2	pour	ADP	4	case
3	des	DET	4	det
4	constructions	NOUN	8	obl:mod
5	anciennes	ADJ	4	amod
6	,	PUNCT	4	punct
7	il	PRON	8	expl:subj
8	peut	VERB	0	root
9	s'	PRON	10	dep:comp
10	agir	VERB	8	xcomp:obj
11	de	ADP	12	case
12	réornementation	NOUN	10	obl:arg
13	avec	ADP	14	case
14	retour	NOUN	12	nmod
15	à	ADP	17	case
16	l'	DET	17	det
17	aspect	NOUN	14	nmod
18	initial	ADJ	17	amod
19	ou	CCONJ	24	cc
20	à	ADP	22	case
21	l'	DET	22	det
22	inverse	NOUN	24	nmod
23	d'	ADP	24	case
24	ajout	NOUN	12	conj
25	de	ADP	26	case
26	différences	NOUN	24	nmod
27	qui	PRON	29	nsubj
28	les	PRON	29	obj
29	modernise	VERB	24	acl:relcl
30	.	PUNCT	8	punct