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:
Zdá se, že v poslední době se evropská veřejnost rozpomíná, a je dobře, že je to za přispění nové, poválečné romské inteligence.
Postion	Tokenization
1	Zdá
2	se
3	,
4	že
5	v
6	poslední
7	době
8	se
9	evropská
10	veřejnost
11	rozpomíná
12	,
13	a
14	je
15	dobře
16	,
17	že
18	je
19	to
20	za
21	přispění
22	nové
23	,
24	poválečné
25	romské
26	inteligence
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Zdá	VERB	0	root
2	se	PRON	1	expl:pv
3	,	PUNCT	11	punct
4	že	SCONJ	11	mark
5	v	ADP	7	case
6	poslední	ADJ	7	amod
7	době	NOUN	11	obl
8	se	PRON	11	expl:pv
9	evropská	ADJ	10	amod
10	veřejnost	NOUN	11	nsubj
11	rozpomíná	VERB	1	csubj
12	,	PUNCT	14	punct
13	a	CCONJ	14	cc
14	je	VERB	1	conj
15	dobře	ADV	14	advmod
16	,	PUNCT	18	punct
17	že	SCONJ	18	mark
18	je	VERB	14	csubj
19	to	DET	18	nsubj
20	za	ADP	21	case
21	přispění	NOUN	18	obl
22	nové	ADJ	26	amod
23	,	PUNCT	24	punct
24	poválečné	ADJ	22	conj
25	romské	ADJ	26	amod
26	inteligence	NOUN	21	nmod
27	.	PUNCT	1	punct