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:
Tiskový tajemník pohraničního pracovního úřadu ve Schwandorfu Karl Sandner říká, že do poloviny letošního roku počet čs. pendlerů, odhadovaný zhruba na 10000, rostl, avšak nyní se zastavil.
Postion	Tokenization
1	Tiskový
2	tajemník
3	pohraničního
4	pracovního
5	úřadu
6	ve
7	Schwandorfu
8	Karl
9	Sandner
10	říká
11	,
12	že
13	do
14	poloviny
15	letošního
16	roku
17	počet
18	čs
19	.
20	pendlerů
21	,
22	odhadovaný
23	zhruba
24	na
25	10000
26	,
27	rostl
28	,
29	avšak
30	nyní
31	se
32	zastavil
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Tiskový	ADJ	2	amod
2	tajemník	NOUN	10	nsubj
3	pohraničního	ADJ	5	amod
4	pracovního	ADJ	5	amod
5	úřadu	NOUN	2	nmod
6	ve	ADP	7	case
7	Schwandorfu	PROPN	5	nmod
8	Karl	PROPN	2	flat
9	Sandner	PROPN	2	flat
10	říká	VERB	0	root
11	,	PUNCT	27	punct
12	že	SCONJ	27	mark
13	do	ADP	14	case
14	poloviny	NOUN	27	obl
15	letošního	ADJ	16	amod
16	roku	NOUN	14	nmod
17	počet	NOUN	27	nsubj
18	čs	ADJ	20	amod
19	.	PUNCT	18	punct
20	pendlerů	NOUN	17	nmod
21	,	PUNCT	22	punct
22	odhadovaný	ADJ	17	amod
23	zhruba	ADV	25	advmod:emph
24	na	ADP	25	case
25	10000	NUM	22	obl
26	,	PUNCT	22	punct
27	rostl	VERB	10	ccomp
28	,	PUNCT	32	punct
29	avšak	CCONJ	32	cc
30	nyní	ADV	32	advmod
31	se	PRON	32	expl:pv
32	zastavil	VERB	27	conj
33	.	PUNCT	10	punct