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:
Etant une fonction inférieure, le sentiment peut constituer un point faible : lorsqu'il se sentira menacé, l'individu INTP se cachera derrière une logique sans faille.
Postion	Tokenization
1	Etant
2	une
3	fonction
4	inférieure
5	,
6	le
7	sentiment
8	peut
9	constituer
10	un
11	point
12	faible
13	:
14	lorsqu'
15	il
16	se
17	sentira
18	menacé
19	,
20	l'
21	individu
22	INTP
23	se
24	cachera
25	derrière
26	une
27	logique
28	sans
29	faille
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Etant	AUX	3	cop
2	une	DET	3	det
3	fonction	NOUN	8	advcl
4	inférieure	ADJ	3	amod
5	,	PUNCT	3	punct
6	le	DET	7	det
7	sentiment	NOUN	8	nsubj
8	peut	VERB	0	root
9	constituer	VERB	8	xcomp:obj
10	un	DET	11	det
11	point	NOUN	9	obj
12	faible	ADJ	11	amod
13	:	PUNCT	24	punct
14	lorsqu'	SCONJ	17	mark
15	il	PRON	17	nsubj
16	se	PRON	17	obj
17	sentira	VERB	24	advcl
18	menacé	VERB	17	xcomp:pred
19	,	PUNCT	17	punct
20	l'	DET	21	det
21	individu	NOUN	24	nsubj
22	INTP	NOUN	21	nmod
23	se	PRON	24	obj
24	cachera	VERB	9	parataxis
25	derrière	ADP	27	case
26	une	DET	27	det
27	logique	NOUN	24	obl:mod
28	sans	ADP	29	case
29	faille	NOUN	27	nmod
30	.	PUNCT	8	punct