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:
Pour l'historien très controversé César Vidal, il s'agit du plus grand massacre réalisé pendant toute la guerre civile dans l'un ou l'autre des deux camps.
Postion	Tokenization
1	Pour
2	l'
3	historien
4	très
5	controversé
6	César
7	Vidal
8	,
9	il
10	s'
11	agit
12	du
13	de
14	le
15	plus
16	grand
17	massacre
18	réalisé
19	pendant
20	toute
21	la
22	guerre
23	civile
24	dans
25	l'
26	un
27	ou
28	l'
29	autre
30	des
31	de
32	les
33	deux
34	camps
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Pour	ADP	3	case
2	l'	DET	3	det
3	historien	NOUN	11	obl:mod
4	très	ADV	5	advmod
5	controversé	ADJ	3	amod
6	César	PROPN	3	appos
7	Vidal	PROPN	6	flat:name
8	,	PUNCT	3	punct
9	il	PRON	11	expl:subj
10	s'	PRON	11	dep:comp
11	agit	VERB	0	root
12	du	_	None	_
13	de	ADP	16	case
14	le	DET	16	det
15	plus	ADV	15	advmod
16	grand	ADJ	16	amod
17	massacre	NOUN	11	obl:arg
18	réalisé	VERB	16	acl
19	pendant	ADP	21	case
20	toute	ADJ	21	amod
21	la	DET	21	det
22	guerre	NOUN	17	obl:mod
23	civile	ADJ	21	amod
24	dans	ADP	25	case
25	l'	DET	25	det
26	un	PRON	17	obl:mod
27	ou	CCONJ	28	cc
28	l'	DET	28	det
29	autre	PRON	25	conj
30	des	_	None	_
31	de	ADP	32	case
32	les	DET	32	det
33	deux	NUM	32	nummod
34	camps	NOUN	28	nmod
35	.	PUNCT	11	punct