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:
Podle policejních informací žádali přednostní odbavování vozidel, která nečekají na vyřízení spedice, umožnění vyřizování dokladů na německé straně ještě před odbavením na české celnici.
Postion	Tokenization
1	Podle
2	policejních
3	informací
4	žádali
5	přednostní
6	odbavování
7	vozidel
8	,
9	která
10	nečekají
11	na
12	vyřízení
13	spedice
14	,
15	umožnění
16	vyřizování
17	dokladů
18	na
19	německé
20	straně
21	ještě
22	před
23	odbavením
24	na
25	české
26	celnici
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	3	case
2	policejních	ADJ	3	amod
3	informací	NOUN	4	obl
4	žádali	VERB	0	root
5	přednostní	ADJ	6	amod
6	odbavování	NOUN	4	obj
7	vozidel	NOUN	6	nmod
8	,	PUNCT	10	punct
9	která	DET	10	nsubj
10	nečekají	VERB	7	acl:relcl
11	na	ADP	12	case
12	vyřízení	NOUN	10	obl:arg
13	spedice	NOUN	12	nmod
14	,	PUNCT	15	punct
15	umožnění	NOUN	6	conj
16	vyřizování	NOUN	15	nmod
17	dokladů	NOUN	16	nmod
18	na	ADP	20	case
19	německé	ADJ	20	amod
20	straně	NOUN	16	nmod
21	ještě	ADV	23	advmod:emph
22	před	ADP	23	case
23	odbavením	NOUN	16	nmod
24	na	ADP	26	case
25	české	ADJ	26	amod
26	celnici	NOUN	23	nmod
27	.	PUNCT	4	punct