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 text: J. Vopalecký, ředitel pobočky KB Praha 1, u níž byly sporné objekty v zástavě, včera řekl, že KB se přidržela obchodního přístupu a chtěla vítězovi soutěže o SPN co nejrychleji a nejefektivněji vyjít vstříc.
Position	Tokenization	UPOS	Head	Deprel
1	J	PROPN	20	nsubj
2	.	PUNCT	1	punct
3	Vopalecký	PROPN	1	flat
4	,	PUNCT	5	punct
5	ředitel	NOUN	1	appos
6	pobočky	NOUN	5	nmod
7	KB	PROPN	6	nmod
8	Praha	PROPN	7	nmod
9	1	NUM	8	nummod
10	,	PUNCT	13	punct
11	u	ADP	12	case
12	níž	PRON	13	obl
13	byly	VERB	6	acl:relcl
14	sporné	ADJ	15	amod
15	objekty	NOUN	13	nsubj
16	v	ADP	17	case
17	zástavě	NOUN	13	obl
18	,	PUNCT	5	punct
19	včera	ADV	20	advmod
20	řekl	VERB	0	root
21	,	PUNCT	25	punct
22	že	SCONJ	25	mark
23	KB	PROPN	25	nsubj
24	se	PRON	25	expl:pv
25	přidržela	VERB	20	ccomp
26	obchodního	ADJ	27	amod
27	přístupu	NOUN	25	obl:arg
28	a	CCONJ	29	cc
29	chtěla	VERB	25	conj
30	vítězovi	NOUN	38	obl
31	soutěže	NOUN	30	nmod
32	o	ADP	33	case
33	SPN	PROPN	31	nmod
34	co	ADV	35	advmod
35	nejrychleji	ADV	38	advmod
36	a	CCONJ	37	cc
37	nejefektivněji	ADV	35	conj
38	vyjít	VERB	29	xcomp
39	vstříc	ADP	30	case
40	.	PUNCT	20	punct