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:
La blanque jument et ses équivalents dans l'ouest du Pas-de-Calais présentent des caractéristiques très similaires à celles d'autres chevaux fabuleux du folklore populaire, français et allemand notamment.
Postion	Tokenization
1	La
2	blanque
3	jument
4	et
5	ses
6	équivalents
7	dans
8	l'
9	ouest
10	du
11	de
12	le
13	Pas-de-Calais
14	présentent
15	des
16	caractéristiques
17	très
18	similaires
19	à
20	celles
21	d'
22	autres
23	chevaux
24	fabuleux
25	du
26	de
27	le
28	folklore
29	populaire
30	,
31	français
32	et
33	allemand
34	notamment
35	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	3	det
2	blanque	ADJ	3	amod
3	jument	NOUN	13	nsubj
4	et	CCONJ	6	cc
5	ses	DET	6	det
6	équivalents	NOUN	3	conj
7	dans	ADP	9	case
8	l'	DET	9	det
9	ouest	NOUN	6	nmod
10	du	_	None	_
11	de	ADP	12	case
12	le	DET	12	det
13	Pas-de-Calais	PROPN	9	nmod
14	présentent	VERB	0	root
15	des	DET	15	det
16	caractéristiques	NOUN	13	obj
17	très	ADV	17	advmod
18	similaires	ADJ	15	amod
19	à	ADP	19	case
20	celles	PRON	17	obl:arg
21	d'	ADP	22	case
22	autres	ADJ	22	amod
23	chevaux	NOUN	19	nmod
24	fabuleux	ADJ	22	amod
25	du	_	None	_
26	de	ADP	26	case
27	le	DET	26	det
28	folklore	NOUN	22	nmod
29	populaire	ADJ	26	amod
30	,	PUNCT	29	punct
31	français	ADJ	26	amod
32	et	CCONJ	31	cc
33	allemand	ADJ	29	conj
34	notamment	ADV	29	advmod
35	.	PUNCT	13	punct