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:
Les forces d'Iberville ayant été réduites, il réussit quand même à faire croire aux assiégés que ses troupes étaient très importantes.
Postion	Tokenization
1	Les
2	forces
3	d'
4	Iberville
5	ayant
6	été
7	réduites
8	,
9	il
10	réussit
11	quand
12	même
13	à
14	faire
15	croire
16	aux
17	à
18	les
19	assiégés
20	que
21	ses
22	troupes
23	étaient
24	très
25	importantes
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Les	DET	2	det
2	forces	NOUN	7	nsubj:pass
3	d'	ADP	4	case
4	Iberville	PROPN	2	nmod
5	ayant	AUX	7	aux:tense
6	été	AUX	7	aux:pass
7	réduites	VERB	10	advcl
8	,	PUNCT	7	punct
9	il	PRON	10	nsubj
10	réussit	VERB	0	root
11	quand	ADV	10	advmod
12	même	ADV	11	fixed
13	à	ADP	15	mark
14	faire	AUX	15	aux:caus
15	croire	VERB	10	xcomp:obl
16	aux	_	None	_
17	à	ADP	18	case
18	les	DET	18	det
19	assiégés	NOUN	15	obl:arg
20	que	SCONJ	24	mark
21	ses	DET	21	det
22	troupes	NOUN	24	nsubj
23	étaient	AUX	24	cop
24	très	ADV	24	advmod
25	importantes	ADJ	15	ccomp:obj
26	.	PUNCT	10	punct