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:
Criton sait que Socrate est aussi fidèle que lui et il pense que si Socrate ne se sauve pas pour lui-même, peut-être se sauvera-t-il pour ses amis.
Postion	Tokenization
1	Criton
2	sait
3	que
4	Socrate
5	est
6	aussi
7	fidèle
8	que
9	lui
10	et
11	il
12	pense
13	que
14	si
15	Socrate
16	ne
17	se
18	sauve
19	pas
20	pour
21	lui-même
22	,
23	peut-être
24	se
25	sauvera
26	-t
27	-il
28	pour
29	ses
30	amis
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Criton	PROPN	2	nsubj
2	sait	VERB	0	root
3	que	SCONJ	7	mark
4	Socrate	PROPN	7	nsubj
5	est	AUX	7	cop
6	aussi	ADV	7	advmod
7	fidèle	ADJ	2	ccomp:obj
8	que	SCONJ	9	case
9	lui	PRON	6	obj
10	et	CCONJ	12	cc
11	il	PRON	12	nsubj
12	pense	VERB	2	conj
13	que	SCONJ	25	mark
14	si	SCONJ	18	mark
15	Socrate	PROPN	18	nsubj
16	ne	ADV	18	advmod
17	se	PRON	18	dep:comp
18	sauve	VERB	25	advcl
19	pas	ADV	18	advmod
20	pour	ADP	21	case
21	lui-même	PRON	18	obl:mod
22	,	PUNCT	18	punct
23	peut-être	ADV	25	advmod
24	se	PRON	25	dep:comp
25	sauvera	VERB	12	ccomp:obj
26	-t	PART	27	dep
27	-il	PRON	25	nsubj
28	pour	ADP	30	case
29	ses	DET	30	det
30	amis	NOUN	25	obl:mod
31	.	PUNCT	2	punct