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 dans ce contexte que ParisNordEst, une société contrôlée par la ville de Paris et la Caisse des dépôts, acquiert l'entrepôt.
Postion	Tokenization
1	C'
2	est
3	dans
4	ce
5	contexte
6	que
7	ParisNordEst
8	,
9	une
10	société
11	contrôlée
12	par
13	la
14	ville
15	de
16	Paris
17	et
18	la
19	Caisse
20	des
21	de
22	les
23	dépôts
24	,
25	acquiert
26	l'
27	entrepôt
28	.
Position	Tokenization	UPOS	Head	Deprel
1	C'	PRON	5	expl:subj
2	est	AUX	5	cop
3	dans	ADP	5	case
4	ce	DET	5	det
5	contexte	NOUN	0	root
6	que	SCONJ	24	mark
7	ParisNordEst	PROPN	24	nsubj
8	,	PUNCT	10	punct
9	une	DET	10	det
10	société	NOUN	7	appos
11	contrôlée	VERB	10	acl
12	par	ADP	14	case
13	la	DET	14	det
14	ville	NOUN	11	obl:agent
15	de	ADP	16	case
16	Paris	PROPN	14	nmod
17	et	CCONJ	19	cc
18	la	DET	19	det
19	Caisse	NOUN	14	conj
20	des	_	None	_
21	de	ADP	22	case
22	les	DET	22	det
23	dépôts	NOUN	19	nmod
24	,	PUNCT	10	punct
25	acquiert	VERB	5	advcl:cleft
26	l'	DET	26	det
27	entrepôt	NOUN	24	obj
28	.	PUNCT	5	punct