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:
En 1977, ce dernier achète les 10000 m² d'Elastic (puis Elastelle), situés entre la rue du Rhône et la rue des Jardins.
Postion	Tokenization
1	En
2	1977
3	,
4	ce
5	dernier
6	achète
7	les
8	10000
9	m²
10	d'
11	Elastic
12	(
13	puis
14	Elastelle
15	)
16	,
17	situés
18	entre
19	la
20	rue
21	du
22	de
23	le
24	Rhône
25	et
26	la
27	rue
28	des
29	de
30	les
31	Jardins
32	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	1977	NUM	6	obl:mod
3	,	PUNCT	2	punct
4	ce	DET	5	det
5	dernier	ADJ	6	nsubj
6	achète	VERB	0	root
7	les	DET	9	det
8	10000	NUM	9	nummod
9	m²	SYM	6	obj
10	d'	ADP	11	case
11	Elastic	PROPN	9	nmod
12	(	PUNCT	14	punct
13	puis	ADV	14	cc
14	Elastelle	PROPN	11	conj
15	)	PUNCT	14	punct
16	,	PUNCT	17	punct
17	situés	VERB	9	acl
18	entre	ADP	20	case
19	la	DET	20	det
20	rue	NOUN	17	obl:mod
21	du	_	None	_
22	de	ADP	23	case
23	le	DET	23	det
24	Rhône	PROPN	20	nmod
25	et	CCONJ	26	cc
26	la	DET	26	det
27	rue	NOUN	20	conj
28	des	_	None	_
29	de	ADP	29	case
30	les	DET	29	det
31	Jardins	NOUN	26	nmod
32	.	PUNCT	6	punct