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:
Elles te harcèlent pour que tu ailles te faire soigner, mais dès que tu as une urgence tu n'es plus une priorité.
Postion	Tokenization
1	Elles
2	te
3	harcèlent
4	pour
5	que
6	tu
7	ailles
8	te
9	faire
10	soigner
11	,
12	mais
13	dès
14	que
15	tu
16	as
17	une
18	urgence
19	tu
20	n'
21	es
22	plus
23	une
24	priorité
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Elles	PRON	3	nsubj
2	te	PRON	3	obj
3	harcèlent	VERB	0	root
4	pour	ADP	7	mark
5	que	SCONJ	7	mark
6	tu	PRON	7	nsubj
7	ailles	VERB	3	advcl
8	te	PRON	10	obj
9	faire	AUX	10	aux:caus
10	soigner	VERB	7	xcomp:obj
11	,	PUNCT	24	punct
12	mais	CCONJ	24	cc
13	dès	ADP	16	mark
14	que	SCONJ	16	mark
15	tu	PRON	16	nsubj
16	as	VERB	24	advcl
17	une	DET	18	det
18	urgence	NOUN	16	obj
19	tu	PRON	24	nsubj
20	n'	ADV	24	advmod
21	es	AUX	24	cop
22	plus	ADV	24	advmod
23	une	DET	24	det
24	priorité	NOUN	3	conj
25	.	PUNCT	3	punct