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:
Podle Luxe však z nedávné diskuse ministrů zemědělství CEFTA v Českých Budějovicích vyplynulo, že to není specialita Brna, situace není lepší ani v Bratislavě a ve Varšavě.
Postion	Tokenization
1	Podle
2	Luxe
3	však
4	z
5	nedávné
6	diskuse
7	ministrů
8	zemědělství
9	CEFTA
10	v
11	Českých
12	Budějovicích
13	vyplynulo
14	,
15	že
16	to
17	není
18	specialita
19	Brna
20	,
21	situace
22	není
23	lepší
24	ani
25	v
26	Bratislavě
27	a
28	ve
29	Varšavě
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	2	case
2	Luxe	PROPN	13	obl
3	však	CCONJ	13	cc
4	z	ADP	6	case
5	nedávné	ADJ	6	amod
6	diskuse	NOUN	13	obl:arg
7	ministrů	NOUN	6	nmod
8	zemědělství	NOUN	7	nmod
9	CEFTA	PROPN	6	nmod
10	v	ADP	12	case
11	Českých	ADJ	12	amod
12	Budějovicích	PROPN	6	nmod
13	vyplynulo	VERB	0	root
14	,	PUNCT	18	punct
15	že	SCONJ	18	mark
16	to	DET	18	nsubj
17	není	AUX	18	cop
18	specialita	NOUN	13	csubj
19	Brna	PROPN	18	nmod
20	,	PUNCT	23	punct
21	situace	NOUN	23	nsubj
22	není	AUX	23	cop
23	lepší	ADJ	18	conj
24	ani	CCONJ	26	advmod:emph
25	v	ADP	26	case
26	Bratislavě	PROPN	23	obl
27	a	CCONJ	29	cc
28	ve	ADP	29	case
29	Varšavě	PROPN	26	conj
30	.	PUNCT	13	punct