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:
Je zřejmé, že pro českou inteligenci (která prosazovala svou představu divadla jako chrámu umění reprezentujícího národní vyspělost) nemělo chudé venkovské loutkové divadlo přitažlivost.
Postion	Tokenization
1	Je
2	zřejmé
3	,
4	že
5	pro
6	českou
7	inteligenci
8	(
9	která
10	prosazovala
11	svou
12	představu
13	divadla
14	jako
15	chrámu
16	umění
17	reprezentujícího
18	národní
19	vyspělost
20	)
21	nemělo
22	chudé
23	venkovské
24	loutkové
25	divadlo
26	přitažlivost
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Je	AUX	2	cop
2	zřejmé	ADJ	0	root
3	,	PUNCT	21	punct
4	že	SCONJ	21	mark
5	pro	ADP	7	case
6	českou	ADJ	7	amod
7	inteligenci	NOUN	21	obl
8	(	PUNCT	10	punct
9	která	DET	10	nsubj
10	prosazovala	VERB	7	acl:relcl
11	svou	DET	12	det
12	představu	NOUN	10	obj
13	divadla	NOUN	12	nmod
14	jako	SCONJ	15	mark
15	chrámu	NOUN	13	xcomp
16	umění	NOUN	15	nmod
17	reprezentujícího	ADJ	15	amod
18	národní	ADJ	19	amod
19	vyspělost	NOUN	17	obj
20	)	PUNCT	10	punct
21	nemělo	VERB	2	csubj
22	chudé	ADJ	25	amod
23	venkovské	ADJ	25	amod
24	loutkové	ADJ	25	amod
25	divadlo	NOUN	21	nsubj
26	přitažlivost	NOUN	21	obj
27	.	PUNCT	2	punct