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:
Více než jedním tisícem schránek disponuje Ekoagrobanka, která má pobočky v Ústí nad Labem, Litoměřicích, Hradci Králové, České Lípě, Přerově, Karlových Varech, Ostravě a ve Zlíně.
Postion	Tokenization
1	Více
2	než
3	jedním
4	tisícem
5	schránek
6	disponuje
7	Ekoagrobanka
8	,
9	která
10	má
11	pobočky
12	v
13	Ústí
14	nad
15	Labem
16	,
17	Litoměřicích
18	,
19	Hradci
20	Králové
21	,
22	České
23	Lípě
24	,
25	Přerově
26	,
27	Karlových
28	Varech
29	,
30	Ostravě
31	a
32	ve
33	Zlíně
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Více	ADV	6	obj
2	než	SCONJ	4	mark
3	jedním	NUM	4	nummod
4	tisícem	NOUN	1	obl
5	schránek	NOUN	4	nmod
6	disponuje	VERB	0	root
7	Ekoagrobanka	PROPN	6	nsubj
8	,	PUNCT	10	punct
9	která	DET	10	nsubj
10	má	VERB	7	acl:relcl
11	pobočky	NOUN	10	obj
12	v	ADP	13	case
13	Ústí	PROPN	33	obl
14	nad	ADP	15	case
15	Labem	PROPN	13	nmod
16	,	PUNCT	17	punct
17	Litoměřicích	PROPN	13	conj
18	,	PUNCT	19	punct
19	Hradci	PROPN	13	conj
20	Králové	PROPN	19	nmod
21	,	PUNCT	23	punct
22	České	ADJ	23	amod
23	Lípě	NOUN	13	conj
24	,	PUNCT	25	punct
25	Přerově	PROPN	13	conj
26	,	PUNCT	28	punct
27	Karlových	ADJ	28	amod
28	Varech	PROPN	13	conj
29	,	PUNCT	30	punct
30	Ostravě	PROPN	13	conj
31	a	CCONJ	33	cc
32	ve	ADP	33	case
33	Zlíně	PROPN	10	obl
34	.	PUNCT	6	punct