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:
Il l'appelle César et c'est lui qui en grandissant va organiser la révolte des singes de laboratoire contre leurs bourreaux aussi bêtes que cruels.
Postion	Tokenization
1	Il
2	l'
3	appelle
4	César
5	et
6	c'
7	est
8	lui
9	qui
10	en
11	grandissant
12	va
13	organiser
14	la
15	révolte
16	des
17	de
18	les
19	singes
20	de
21	laboratoire
22	contre
23	leurs
24	bourreaux
25	aussi
26	bêtes
27	que
28	cruels
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	3	nsubj
2	l'	PRON	3	obj
3	appelle	VERB	0	root
4	César	PROPN	3	xcomp:pred
5	et	CCONJ	8	cc
6	c'	PRON	8	expl:subj
7	est	AUX	8	cop
8	lui	PRON	3	conj
9	qui	PRON	12	nsubj
10	en	ADP	11	mark
11	grandissant	VERB	12	advcl
12	va	VERB	8	advcl:cleft
13	organiser	VERB	12	xcomp:obj
14	la	DET	15	det
15	révolte	NOUN	13	obj
16	des	_	None	_
17	de	ADP	18	case
18	les	DET	18	det
19	singes	NOUN	15	nmod
20	de	ADP	20	case
21	laboratoire	NOUN	18	nmod
22	contre	ADP	23	case
23	leurs	DET	23	det
24	bourreaux	NOUN	15	nmod
25	aussi	ADV	25	advmod
26	bêtes	ADJ	23	amod
27	que	SCONJ	27	mark
28	cruels	ADJ	24	ccomp:obj
29	.	PUNCT	3	punct