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:
Ce n'est pas sur ce dernier qu'il se vengea, mais sur sœur Agostina qu'il insulta en lui affirmant qu'il allait la tuer.
Postion	Tokenization
1	Ce
2	n'
3	est
4	pas
5	sur
6	ce
7	dernier
8	qu'
9	il
10	se
11	vengea
12	,
13	mais
14	sur
15	sœur
16	Agostina
17	qu'
18	il
19	insulta
20	en
21	lui
22	affirmant
23	qu'
24	il
25	allait
26	la
27	tuer
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Ce	PRON	7	expl:subj
2	n'	ADV	7	advmod
3	est	AUX	7	cop
4	pas	ADV	7	advmod
5	sur	ADP	7	case
6	ce	DET	7	det
7	dernier	ADJ	0	root
8	qu'	SCONJ	11	mark
9	il	PRON	11	nsubj
10	se	PRON	11	obj
11	vengea	VERB	7	advcl:cleft
12	,	PUNCT	15	punct
13	mais	CCONJ	15	cc
14	sur	ADP	15	case
15	sœur	NOUN	7	conj
16	Agostina	PROPN	15	appos
17	qu'	PRON	19	obj
18	il	PRON	19	nsubj
19	insulta	VERB	15	acl:relcl
20	en	ADP	22	mark
21	lui	PRON	22	obl:arg
22	affirmant	VERB	19	advcl
23	qu'	SCONJ	25	mark
24	il	PRON	25	nsubj
25	allait	VERB	22	ccomp:obj
26	la	PRON	27	obj
27	tuer	VERB	25	xcomp:obj
28	.	PUNCT	7	punct