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:
S velkým porozuměním je přijalo ještě za totality Museé de l'Art brut v Lausanne, jediné muzeum tohoto druhu v Evropě, pokud vím.
Postion	Tokenization
1	S
2	velkým
3	porozuměním
4	je
5	přijalo
6	ještě
7	za
8	totality
9	Museé
10	de
11	l
12	'
13	Art
14	brut
15	v
16	Lausanne
17	,
18	jediné
19	muzeum
20	tohoto
21	druhu
22	v
23	Evropě
24	,
25	pokud
26	vím
27	.
Position	Tokenization	UPOS	Head	Deprel
1	S	ADP	3	case
2	velkým	ADJ	3	amod
3	porozuměním	NOUN	5	obl
4	je	PRON	5	obj
5	přijalo	VERB	0	root
6	ještě	ADV	8	advmod:emph
7	za	ADP	8	case
8	totality	NOUN	5	obl
9	Museé	PROPN	5	nsubj
10	de	ADP	9	flat:foreign
11	l	ADJ	9	flat:foreign
12	'	PUNCT	11	punct
13	Art	PROPN	9	flat:foreign
14	brut	ADJ	9	flat:foreign
15	v	ADP	16	case
16	Lausanne	PROPN	9	nmod
17	,	PUNCT	19	punct
18	jediné	ADJ	19	amod
19	muzeum	NOUN	9	appos
20	tohoto	DET	21	det
21	druhu	NOUN	19	nmod
22	v	ADP	23	case
23	Evropě	PROPN	19	nmod
24	,	PUNCT	26	punct
25	pokud	SCONJ	26	mark
26	vím	VERB	5	advcl
27	.	PUNCT	5	punct