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:
Après avoir traversé la ville, elle se dirige vers le nord-est en traversant des terres agricoles pendant 35 kilomètres en traversant Jarvis et Hagersville en plus de croiser la Route 3 à Jarvis.
Postion	Tokenization
1	Après
2	avoir
3	traversé
4	la
5	ville
6	,
7	elle
8	se
9	dirige
10	vers
11	le
12	nord-est
13	en
14	traversant
15	des
16	terres
17	agricoles
18	pendant
19	35
20	kilomètres
21	en
22	traversant
23	Jarvis
24	et
25	Hagersville
26	en
27	plus
28	de
29	croiser
30	la
31	Route
32	3
33	à
34	Jarvis
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Après	ADP	3	mark
2	avoir	AUX	3	aux:tense
3	traversé	VERB	9	advcl
4	la	DET	5	det
5	ville	NOUN	3	obj
6	,	PUNCT	3	punct
7	elle	PRON	9	nsubj
8	se	PRON	9	dep:comp
9	dirige	VERB	0	root
10	vers	ADP	12	case
11	le	DET	12	det
12	nord-est	NOUN	9	obl:mod
13	en	ADP	14	mark
14	traversant	VERB	9	advcl
15	des	DET	16	det
16	terres	NOUN	14	obj
17	agricoles	ADJ	16	amod
18	pendant	ADP	20	case
19	35	NUM	20	nummod
20	kilomètres	NOUN	14	obl:mod
21	en	ADP	22	mark
22	traversant	VERB	14	conj
23	Jarvis	PROPN	22	obj
24	et	CCONJ	25	cc
25	Hagersville	PROPN	23	conj
26	en	ADP	14	advmod
27	plus	ADV	26	fixed
28	de	ADP	29	mark
29	croiser	VERB	26	ccomp:obl
30	la	DET	31	det
31	Route	NOUN	29	obj
32	3	NUM	31	nmod
33	à	ADP	34	case
34	Jarvis	PROPN	29	obl:mod
35	.	PUNCT	9	punct