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:
Il faut dire qu'en tant que centre majeur de production d'armes et en raison de sa forte concentration de main-d'œuvre qualifiée, Ijevsk constituait un enjeu stratégique majeur.
Postion	Tokenization
1	Il
2	faut
3	dire
4	qu'
5	en
6	tant
7	que
8	centre
9	majeur
10	de
11	production
12	d'
13	armes
14	et
15	en
16	raison
17	de
18	sa
19	forte
20	concentration
21	de
22	main-d'œuvre
23	qualifiée
24	,
25	Ijevsk
26	constituait
27	un
28	enjeu
29	stratégique
30	majeur
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	2	expl:subj
2	faut	VERB	0	root
3	dire	VERB	2	ccomp:obj
4	qu'	SCONJ	26	mark
5	en	ADP	8	case
6	tant	ADV	5	fixed
7	que	SCONJ	5	fixed
8	centre	NOUN	26	obl:mod
9	majeur	ADJ	8	amod
10	de	ADP	11	case
11	production	NOUN	8	nmod
12	d'	ADP	13	case
13	armes	NOUN	11	nmod
14	et	CCONJ	15	cc
15	en	ADP	8	conj
16	raison	NOUN	15	fixed
17	de	ADP	20	case
18	sa	DET	20	det
19	forte	ADJ	20	amod
20	concentration	NOUN	15	obl:arg
21	de	ADP	22	case
22	main-d'œuvre	NOUN	20	nmod
23	qualifiée	VERB	22	acl
24	,	PUNCT	8	punct
25	Ijevsk	PROPN	26	nsubj
26	constituait	VERB	3	ccomp:obj
27	un	DET	28	det
28	enjeu	NOUN	26	xcomp:pred
29	stratégique	ADJ	28	amod
30	majeur	ADJ	28	amod
31	.	PUNCT	2	punct