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:
Těmito slovy uvedl kurátor Dan Pattir putovní výstavu IZRAEL V KARIKATUŘE, která nyní (do 5. března) hostuje v pražském Národním muzeu.
Postion	Tokenization
1	Těmito
2	slovy
3	uvedl
4	kurátor
5	Dan
6	Pattir
7	putovní
8	výstavu
9	IZRAEL
10	V
11	KARIKATUŘE
12	,
13	která
14	nyní
15	(
16	do
17	5
18	.
19	března
20	)
21	hostuje
22	v
23	pražském
24	Národním
25	muzeu
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Těmito	DET	2	det
2	slovy	NOUN	3	obl
3	uvedl	VERB	0	root
4	kurátor	NOUN	3	nsubj
5	Dan	PROPN	4	flat
6	Pattir	PROPN	4	flat
7	putovní	ADJ	8	amod
8	výstavu	NOUN	3	obj
9	IZRAEL	PROPN	8	nmod
10	V	ADP	11	case
11	KARIKATUŘE	NOUN	9	nmod
12	,	PUNCT	21	punct
13	která	DET	21	nsubj
14	nyní	ADV	21	advmod
15	(	PUNCT	19	punct
16	do	ADP	19	case
17	5	NUM	19	nummod
18	.	PUNCT	17	punct
19	března	NOUN	14	appos
20	)	PUNCT	19	punct
21	hostuje	VERB	8	acl:relcl
22	v	ADP	25	case
23	pražském	ADJ	25	amod
24	Národním	ADJ	25	amod
25	muzeu	NOUN	21	obl
26	.	PUNCT	3	punct