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 était principalement destiné aux régiments d'infanterie de ligne qui, avec ceux des camps de Saint-Omer et Bruges constituaient quarante bataillons.
Postion	Tokenization
1	Il
2	était
3	principalement
4	destiné
5	aux
6	à
7	les
8	régiments
9	d'
10	infanterie
11	de
12	ligne
13	qui
14	,
15	avec
16	ceux
17	des
18	de
19	les
20	camps
21	de
22	Saint-Omer
23	et
24	Bruges
25	constituaient
26	quarante
27	bataillons
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	4	nsubj
2	était	AUX	4	aux:tense
3	principalement	ADV	4	advmod
4	destiné	VERB	0	root
5	aux	_	None	_
6	à	ADP	7	case
7	les	DET	7	det
8	régiments	NOUN	4	obl:arg
9	d'	ADP	9	case
10	infanterie	NOUN	7	nmod
11	de	ADP	11	case
12	ligne	NOUN	7	nmod
13	qui	PRON	23	nsubj
14	,	PUNCT	12	punct
15	avec	ADP	15	case
16	ceux	PRON	23	obl:mod
17	des	_	None	_
18	de	ADP	18	case
19	les	DET	18	det
20	camps	NOUN	15	nmod
21	de	ADP	20	case
22	Saint-Omer	PROPN	18	nmod
23	et	CCONJ	22	cc
24	Bruges	PROPN	20	conj
25	constituaient	VERB	7	acl:relcl
26	quarante	NUM	25	nummod
27	bataillons	NOUN	23	obj
28	.	PUNCT	4	punct