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:
Večer přednesl český premiér před více než 400 významnými představiteli politiky, hospodářství a kultury projev, v němž se vyslovil k otázkám evropské integrace.
Postion	Tokenization
1	Večer
2	přednesl
3	český
4	premiér
5	před
6	více
7	než
8	400
9	významnými
10	představiteli
11	politiky
12	,
13	hospodářství
14	a
15	kultury
16	projev
17	,
18	v
19	němž
20	se
21	vyslovil
22	k
23	otázkám
24	evropské
25	integrace
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Večer	ADV	2	advmod
2	přednesl	VERB	0	root
3	český	ADJ	4	amod
4	premiér	NOUN	2	nsubj
5	před	ADP	10	case
6	více	ADV	10	advmod
7	než	SCONJ	8	mark
8	400	NUM	6	obl
9	významnými	ADJ	10	amod
10	představiteli	NOUN	2	obl
11	politiky	NOUN	10	nmod
12	,	PUNCT	13	punct
13	hospodářství	NOUN	11	conj
14	a	CCONJ	15	cc
15	kultury	NOUN	11	conj
16	projev	NOUN	2	obj
17	,	PUNCT	21	punct
18	v	ADP	19	case
19	němž	PRON	21	obl
20	se	PRON	21	expl:pv
21	vyslovil	VERB	16	acl:relcl
22	k	ADP	23	case
23	otázkám	NOUN	21	obl
24	evropské	ADJ	25	amod
25	integrace	NOUN	23	nmod
26	.	PUNCT	2	punct