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:
Jeanne d'Arc visiblement ne portait pas les Bourguignons dans son cœur à cause de leur proximité avec son village de Domrémy et des heurts qu'il avait pu y avoir.
Postion	Tokenization
1	Jeanne
2	d'
3	Arc
4	visiblement
5	ne
6	portait
7	pas
8	les
9	Bourguignons
10	dans
11	son
12	cœur
13	à
14	cause
15	de
16	leur
17	proximité
18	avec
19	son
20	village
21	de
22	Domrémy
23	et
24	des
25	de
26	les
27	heurts
28	qu'
29	il
30	avait
31	pu
32	y
33	avoir
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Jeanne	PROPN	6	nsubj
2	d'	ADP	3	case
3	Arc	PROPN	1	nmod
4	visiblement	ADV	6	advmod
5	ne	ADV	6	advmod
6	portait	VERB	0	root
7	pas	ADV	6	advmod
8	les	DET	9	det
9	Bourguignons	PROPN	6	obj
10	dans	ADP	12	case
11	son	DET	12	det
12	cœur	NOUN	6	obl:mod
13	à	ADP	6	advmod
14	cause	NOUN	13	fixed
15	de	ADP	17	case
16	leur	DET	17	det
17	proximité	NOUN	13	obl:arg
18	avec	ADP	20	case
19	son	DET	20	det
20	village	NOUN	17	nmod
21	de	ADP	22	case
22	Domrémy	PROPN	20	nmod
23	et	CCONJ	26	cc
24	des	_	None	_
25	de	ADP	26	case
26	les	DET	26	det
27	heurts	NOUN	17	conj
28	qu'	PRON	32	obj
29	il	PRON	30	expl:subj
30	avait	AUX	30	aux:tense
31	pu	VERB	26	acl:relcl
32	y	PRON	32	dep:comp
33	avoir	VERB	30	xcomp:obj
34	.	PUNCT	6	punct