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:
L'US Army, qui était décidée à mener cette entreprise jusqu'à son terme, sélectionna deux projets conçus respectivement par les sociétés Bell Helicopter Textron et Hughes Helicopters.
Postion	Tokenization
1	L'
2	US
3	Army
4	,
5	qui
6	était
7	décidée
8	à
9	mener
10	cette
11	entreprise
12	jusqu'
13	à
14	son
15	terme
16	,
17	sélectionna
18	deux
19	projets
20	conçus
21	respectivement
22	par
23	les
24	sociétés
25	Bell
26	Helicopter
27	Textron
28	et
29	Hughes
30	Helicopters
31	.
Position	Tokenization	UPOS	Head	Deprel
1	L'	DET	2	det
2	US	PROPN	17	nsubj
3	Army	PROPN	2	flat:name
4	,	PUNCT	7	punct
5	qui	PRON	7	nsubj
6	était	AUX	7	aux:tense
7	décidée	VERB	2	acl:relcl
8	à	ADP	9	mark
9	mener	VERB	7	xcomp:obl
10	cette	DET	11	det
11	entreprise	NOUN	9	obj
12	jusqu'	ADP	15	case
13	à	ADP	15	case
14	son	DET	15	det
15	terme	NOUN	9	obl:arg
16	,	PUNCT	7	punct
17	sélectionna	VERB	0	root
18	deux	NUM	19	nummod
19	projets	NOUN	17	obj
20	conçus	VERB	19	acl
21	respectivement	ADV	20	advmod
22	par	ADP	24	case
23	les	DET	24	det
24	sociétés	NOUN	20	obl:agent
25	Bell	PROPN	24	appos
26	Helicopter	PROPN	25	flat:name
27	Textron	PROPN	26	flat:name
28	et	CCONJ	29	cc
29	Hughes	PROPN	25	conj
30	Helicopters	PROPN	29	flat:name
31	.	PUNCT	17	punct