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:
Lors de la Reconstruction de Caen, les autorités décident toutefois de raser les derniers vestiges et la façade ouest, ainsi qu'un fragment de mur, restés debout sont détruits vers 1950.
Postion	Tokenization
1	Lors
2	de
3	la
4	Reconstruction
5	de
6	Caen
7	,
8	les
9	autorités
10	décident
11	toutefois
12	de
13	raser
14	les
15	derniers
16	vestiges
17	et
18	la
19	façade
20	ouest
21	,
22	ainsi
23	qu'
24	un
25	fragment
26	de
27	mur
28	,
29	restés
30	debout
31	sont
32	détruits
33	vers
34	1950
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Lors	ADV	10	advmod
2	de	ADP	4	case
3	la	DET	4	det
4	Reconstruction	NOUN	1	obl:arg
5	de	ADP	6	case
6	Caen	PROPN	4	nmod
7	,	PUNCT	4	punct
8	les	DET	9	det
9	autorités	NOUN	10	nsubj
10	décident	VERB	0	root
11	toutefois	ADV	10	advmod
12	de	ADP	13	mark
13	raser	VERB	10	xcomp:obj
14	les	DET	16	det
15	derniers	ADJ	16	amod
16	vestiges	NOUN	13	obj
17	et	CCONJ	32	cc
18	la	DET	19	det
19	façade	NOUN	32	nsubj:pass
20	ouest	NOUN	19	nmod
21	,	PUNCT	25	punct
22	ainsi	ADV	25	cc
23	qu'	SCONJ	22	fixed
24	un	DET	25	det
25	fragment	NOUN	19	conj
26	de	ADP	27	case
27	mur	NOUN	25	nmod
28	,	PUNCT	29	punct
29	restés	VERB	19	acl
30	debout	ADV	29	advmod
31	sont	AUX	32	aux:pass
32	détruits	VERB	10	conj
33	vers	ADP	34	case
34	1950	NUM	32	obl:mod
35	.	PUNCT	10	punct