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:
Manažer Pumy pro východní Evropu Jürgen Hennig zároveň oznámil, že po vzoru Německa bude firma v našich městech pořádat pouliční fotbalové turnaje dětí.
Postion	Tokenization
1	Manažer
2	Pumy
3	pro
4	východní
5	Evropu
6	Jürgen
7	Hennig
8	zároveň
9	oznámil
10	,
11	že
12	po
13	vzoru
14	Německa
15	bude
16	firma
17	v
18	našich
19	městech
20	pořádat
21	pouliční
22	fotbalové
23	turnaje
24	dětí
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Manažer	NOUN	9	nsubj
2	Pumy	PROPN	1	nmod
3	pro	ADP	5	case
4	východní	ADJ	5	amod
5	Evropu	PROPN	1	nmod
6	Jürgen	PROPN	1	flat
7	Hennig	PROPN	1	flat
8	zároveň	ADV	9	advmod
9	oznámil	VERB	0	root
10	,	PUNCT	20	punct
11	že	SCONJ	20	mark
12	po	ADP	13	case
13	vzoru	NOUN	20	obl
14	Německa	PROPN	13	nmod
15	bude	AUX	20	aux
16	firma	NOUN	20	nsubj
17	v	ADP	19	case
18	našich	DET	19	det
19	městech	NOUN	20	obl
20	pořádat	VERB	9	ccomp
21	pouliční	ADJ	23	amod
22	fotbalové	ADJ	23	amod
23	turnaje	NOUN	20	obj
24	dětí	NOUN	23	nmod
25	.	PUNCT	9	punct