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:
Tout ce que nous pouvons dire du narrateur et de sa psychologie, nous le déduisons de ses faits et gestes relativement limités et surtout de ses regards.
Postion	Tokenization
1	Tout
2	ce
3	que
4	nous
5	pouvons
6	dire
7	du
8	de
9	le
10	narrateur
11	et
12	de
13	sa
14	psychologie
15	,
16	nous
17	le
18	déduisons
19	de
20	ses
21	faits
22	et
23	gestes
24	relativement
25	limités
26	et
27	surtout
28	de
29	ses
30	regards
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Tout	DET	2	det
2	ce	PRON	17	dislocated
3	que	PRON	6	obj
4	nous	PRON	5	nsubj
5	pouvons	VERB	2	acl:relcl
6	dire	VERB	5	xcomp:obj
7	du	_	None	_
8	de	ADP	9	case
9	le	DET	9	det
10	narrateur	NOUN	6	obl:arg
11	et	CCONJ	13	cc
12	de	ADP	13	case
13	sa	DET	13	det
14	psychologie	NOUN	9	conj
15	,	PUNCT	2	punct
16	nous	PRON	17	nsubj
17	le	PRON	17	obj
18	déduisons	VERB	0	root
19	de	ADP	20	case
20	ses	DET	20	det
21	faits	NOUN	17	obl:arg
22	et	CCONJ	22	cc
23	gestes	NOUN	20	conj
24	relativement	ADV	24	advmod
25	limités	ADJ	20	amod
26	et	CCONJ	29	cc
27	surtout	ADV	29	advmod
28	de	ADP	29	case
29	ses	DET	29	det
30	regards	NOUN	20	conj
31	.	PUNCT	17	punct