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:
Des rénovations importantes ont été entreprises à partir de 1974 par la National Trust for Historic Preservation, travaux qui se sont échelonnés sur 13 ans.
Postion	Tokenization
1	Des
2	rénovations
3	importantes
4	ont
5	été
6	entreprises
7	à
8	partir
9	de
10	1974
11	par
12	la
13	National
14	Trust
15	for
16	Historic
17	Preservation
18	,
19	travaux
20	qui
21	se
22	sont
23	échelonnés
24	sur
25	13
26	ans
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Des	DET	2	det
2	rénovations	NOUN	6	nsubj:pass
3	importantes	ADJ	2	amod
4	ont	AUX	6	aux:tense
5	été	AUX	6	aux:pass
6	entreprises	VERB	0	root
7	à	ADP	6	advmod
8	partir	VERB	7	fixed
9	de	ADP	10	case
10	1974	NUM	7	obl:arg
11	par	ADP	13	case
12	la	DET	13	det
13	National	X	6	obl:agent
14	Trust	X	13	flat:foreign
15	for	X	14	flat:foreign
16	Historic	X	15	flat:foreign
17	Preservation	X	16	flat:foreign
18	,	PUNCT	19	punct
19	travaux	NOUN	6	parataxis
20	qui	PRON	23	nsubj
21	se	PRON	23	expl:pass
22	sont	AUX	23	aux:tense
23	échelonnés	VERB	19	acl:relcl
24	sur	ADP	26	case
25	13	NUM	26	nummod
26	ans	NOUN	23	obl:mod
27	.	PUNCT	6	punct