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:
Bruges et son industrie drapière dépendant des importations de laine d'outre-Manche, est une ville proanglaise en territoire français.
Postion	Tokenization
1	Bruges
2	et
3	son
4	industrie
5	drapière
6	dépendant
7	des
8	de
9	les
10	importations
11	de
12	laine
13	d'
14	outre-Manche
15	,
16	est
17	une
18	ville
19	proanglaise
20	en
21	territoire
22	français
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Bruges	PROPN	17	nsubj
2	et	CCONJ	4	cc
3	son	DET	4	det
4	industrie	NOUN	1	conj
5	drapière	ADJ	4	amod
6	dépendant	VERB	4	acl
7	des	_	None	_
8	de	ADP	9	case
9	les	DET	9	det
10	importations	NOUN	6	obl:arg
11	de	ADP	11	case
12	laine	NOUN	9	nmod
13	d'	ADP	13	case
14	outre-Manche	PROPN	9	nmod
15	,	PUNCT	1	punct
16	est	AUX	17	cop
17	une	DET	17	det
18	ville	NOUN	0	root
19	proanglaise	ADJ	17	amod
20	en	ADP	20	case
21	territoire	NOUN	17	nmod
22	français	ADJ	20	amod
23	.	PUNCT	17	punct