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:
Padesát marek měsíčně a bezplatnou veterinární péči si vysloužili tři policejní psi v Düsseldorfu, které uznalý zaměstnavatel poslal po letech jejich věrné služby státu na odpočinek.
Postion	Tokenization
1	Padesát
2	marek
3	měsíčně
4	a
5	bezplatnou
6	veterinární
7	péči
8	si
9	vysloužili
10	tři
11	policejní
12	psi
13	v
14	Düsseldorfu
15	,
16	které
17	uznalý
18	zaměstnavatel
19	poslal
20	po
21	letech
22	jejich
23	věrné
24	služby
25	státu
26	na
27	odpočinek
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Padesát	NUM	2	nummod:gov
2	marek	NOUN	9	obj
3	měsíčně	ADV	1	advmod
4	a	CCONJ	7	cc
5	bezplatnou	ADJ	7	amod
6	veterinární	ADJ	7	amod
7	péči	NOUN	2	conj
8	si	PRON	9	expl:pv
9	vysloužili	VERB	0	root
10	tři	NUM	12	nummod
11	policejní	ADJ	12	amod
12	psi	NOUN	9	nsubj
13	v	ADP	14	case
14	Düsseldorfu	PROPN	9	obl
15	,	PUNCT	19	punct
16	které	DET	19	obj
17	uznalý	ADJ	18	amod
18	zaměstnavatel	NOUN	19	nsubj
19	poslal	VERB	12	acl:relcl
20	po	ADP	21	case
21	letech	NOUN	19	obl
22	jejich	DET	24	det
23	věrné	ADJ	24	amod
24	služby	NOUN	21	nmod
25	státu	NOUN	24	nmod
26	na	ADP	27	case
27	odpočinek	NOUN	19	obl
28	.	PUNCT	9	punct