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:
Le recours au boycott et aux pétitions dès 1764 à Boston, fut l'une des solutions les plus efficaces contre le pouvoir britannique.
Postion	Tokenization
1	Le
2	recours
3	au
4	à
5	le
6	boycott
7	et
8	aux
9	à
10	les
11	pétitions
12	dès
13	1764
14	à
15	Boston
16	,
17	fut
18	l'
19	une
20	des
21	de
22	les
23	solutions
24	les
25	plus
26	efficaces
27	contre
28	le
29	pouvoir
30	britannique
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	recours	NOUN	17	nsubj
3	au	_	None	_
4	à	ADP	5	case
5	le	DET	5	det
6	boycott	NOUN	2	nmod
7	et	CCONJ	9	cc
8	aux	_	None	_
9	à	ADP	9	case
10	les	DET	9	det
11	pétitions	NOUN	5	conj
12	dès	ADP	11	case
13	1764	NUM	2	nmod
14	à	ADP	13	case
15	Boston	PROPN	2	nmod
16	,	PUNCT	2	punct
17	fut	AUX	17	cop
18	l'	DET	17	det
19	une	PRON	0	root
20	des	_	None	_
21	de	ADP	20	case
22	les	DET	20	det
23	solutions	NOUN	17	nmod
24	les	DET	23	advmod
25	plus	ADV	21	fixed
26	efficaces	ADJ	20	amod
27	contre	ADP	26	case
28	le	DET	26	det
29	pouvoir	NOUN	20	nmod
30	britannique	ADJ	26	amod
31	.	PUNCT	17	punct