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:
V drtivé většině se nabídka nesetká s poptávkou, předpovídají makléři v anketě LN Jak bude vypadat první den obchodování na pražské burze po zavedení 677 nových emisí akcií českých podniků?
Postion	Tokenization
1	V
2	drtivé
3	většině
4	se
5	nabídka
6	nesetká
7	s
8	poptávkou
9	,
10	předpovídají
11	makléři
12	v
13	anketě
14	LN
15	Jak
16	bude
17	vypadat
18	první
19	den
20	obchodování
21	na
22	pražské
23	burze
24	po
25	zavedení
26	677
27	nových
28	emisí
29	akcií
30	českých
31	podniků
32	?
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	3	case
2	drtivé	ADJ	3	amod
3	většině	NOUN	6	obl
4	se	PRON	6	expl:pv
5	nabídka	NOUN	6	nsubj
6	nesetká	VERB	10	ccomp
7	s	ADP	8	case
8	poptávkou	NOUN	6	obl:arg
9	,	PUNCT	6	punct
10	předpovídají	VERB	0	root
11	makléři	NOUN	10	nsubj
12	v	ADP	13	case
13	anketě	NOUN	10	obl
14	LN	PROPN	13	nmod
15	Jak	ADV	17	advmod
16	bude	AUX	17	aux
17	vypadat	VERB	13	acl
18	první	ADJ	19	amod
19	den	NOUN	17	nsubj
20	obchodování	NOUN	19	nmod
21	na	ADP	23	case
22	pražské	ADJ	23	amod
23	burze	NOUN	20	nmod
24	po	ADP	25	case
25	zavedení	NOUN	17	obl
26	677	NUM	28	nummod
27	nových	ADJ	28	amod
28	emisí	NOUN	25	nmod
29	akcií	NOUN	28	nmod
30	českých	ADJ	31	amod
31	podniků	NOUN	29	nmod
32	?	PUNCT	10	punct