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:
Se svojí pobočkou v Budapešti vstoupila na východoevropský trh i firma Pendl &Piswanger, která si účtovala 100-150 tisíc šilinků za vyhledání manažera a 8000- 20000 šilinků za sekretářku.
Postion	Tokenization
1	Se
2	svojí
3	pobočkou
4	v
5	Budapešti
6	vstoupila
7	na
8	východoevropský
9	trh
10	i
11	firma
12	Pendl
13	&
14	Piswanger
15	,
16	která
17	si
18	účtovala
19	100
20	-
21	150
22	tisíc
23	šilinků
24	za
25	vyhledání
26	manažera
27	a
28	8000
29	-
30	20000
31	šilinků
32	za
33	sekretářku
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Se	ADP	3	case
2	svojí	DET	3	det
3	pobočkou	NOUN	6	obl
4	v	ADP	5	case
5	Budapešti	PROPN	3	nmod
6	vstoupila	VERB	0	root
7	na	ADP	9	case
8	východoevropský	ADJ	9	amod
9	trh	NOUN	6	obl
10	i	CCONJ	11	advmod:emph
11	firma	NOUN	6	nsubj
12	Pendl	PROPN	11	nmod
13	&	PUNCT	14	punct
14	Piswanger	PROPN	12	conj
15	,	PUNCT	18	punct
16	která	DET	18	nsubj
17	si	PRON	18	obl
18	účtovala	VERB	11	acl:relcl
19	100	NUM	18	obj
20	-	PUNCT	21	punct
21	150	NUM	19	conj
22	tisíc	NOUN	19	nmod
23	šilinků	NOUN	22	nmod
24	za	ADP	25	case
25	vyhledání	NOUN	18	obl
26	manažera	NOUN	25	nmod
27	a	CCONJ	31	cc
28	8000	NUM	31	nummod:gov
29	-	PUNCT	30	punct
30	20000	NUM	28	conj
31	šilinků	NOUN	18	conj
32	za	ADP	33	case
33	sekretářku	NOUN	18	obl
34	.	PUNCT	6	punct