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:
En effet, sa position frontalière avec le Dauphiné voisin (elle est alors savoyarde de 1029 à 1355) lui procure un avantage commercial indéniable sur ses rivales (Vienne et Grenoble).
Postion	Tokenization
1	En
2	effet
3	,
4	sa
5	position
6	frontalière
7	avec
8	le
9	Dauphiné
10	voisin
11	(
12	elle
13	est
14	alors
15	savoyarde
16	de
17	1029
18	à
19	1355
20	)
21	lui
22	procure
23	un
24	avantage
25	commercial
26	indéniable
27	sur
28	ses
29	rivales
30	(
31	Vienne
32	et
33	Grenoble
34	)
35	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	22	advmod
2	effet	NOUN	1	fixed
3	,	PUNCT	1	punct
4	sa	DET	5	det
5	position	NOUN	22	nsubj
6	frontalière	ADJ	5	amod
7	avec	ADP	9	case
8	le	DET	9	det
9	Dauphiné	PROPN	5	nmod
10	voisin	ADJ	9	amod
11	(	PUNCT	15	punct
12	elle	PRON	15	nsubj
13	est	AUX	15	cop
14	alors	ADV	15	advmod
15	savoyarde	ADJ	5	parataxis
16	de	ADP	17	case
17	1029	NUM	15	obl:mod
18	à	ADP	19	case
19	1355	NUM	17	nmod
20	)	PUNCT	15	punct
21	lui	PRON	22	obl:arg
22	procure	VERB	0	root
23	un	DET	24	det
24	avantage	NOUN	22	obj
25	commercial	ADJ	24	amod
26	indéniable	ADJ	24	amod
27	sur	ADP	29	case
28	ses	DET	29	det
29	rivales	NOUN	24	nmod
30	(	PUNCT	31	punct
31	Vienne	PROPN	29	appos
32	et	CCONJ	33	cc
33	Grenoble	PROPN	31	conj
34	)	PUNCT	31	punct
35	.	PUNCT	22	punct