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 existe d'ailleurs beaucoup de types de crampons différents, selon le type de terrain (herbe, sable, boue) et son état (gras, sec, profond).
Postion	Tokenization
1	Il
2	existe
3	d'
4	ailleurs
5	beaucoup
6	de
7	types
8	de
9	crampons
10	différents
11	,
12	selon
13	le
14	type
15	de
16	terrain
17	(
18	herbe
19	,
20	sable
21	,
22	boue
23	)
24	et
25	son
26	état
27	(
28	gras
29	,
30	sec
31	,
32	profond
33	)
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	2	expl:subj
2	existe	VERB	0	root
3	d'	ADP	2	advmod
4	ailleurs	ADV	3	fixed
5	beaucoup	ADV	2	nsubj
6	de	ADP	7	case
7	types	NOUN	5	dep:comp
8	de	ADP	9	case
9	crampons	NOUN	7	nmod
10	différents	ADJ	9	amod
11	,	PUNCT	14	punct
12	selon	ADP	14	case
13	le	DET	14	det
14	type	NOUN	2	obl:mod
15	de	ADP	16	case
16	terrain	NOUN	14	nmod
17	(	PUNCT	18	punct
18	herbe	NOUN	14	appos
19	,	PUNCT	20	punct
20	sable	NOUN	18	conj
21	,	PUNCT	22	punct
22	boue	NOUN	18	conj
23	)	PUNCT	18	punct
24	et	CCONJ	26	cc
25	son	DET	26	det
26	état	NOUN	14	conj
27	(	PUNCT	28	punct
28	gras	ADJ	26	amod
29	,	PUNCT	30	punct
30	sec	ADJ	28	conj
31	,	PUNCT	32	punct
32	profond	ADJ	28	conj
33	)	PUNCT	28	punct
34	.	PUNCT	2	punct