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:
Dozvěděli se při té příležitosti něco ze zákulisí známého hamburského magazínu, který má na šest miliónů čtenářů v Německu i v zahraničí.
Postion	Tokenization
1	Dozvěděli
2	se
3	při
4	té
5	příležitosti
6	něco
7	ze
8	zákulisí
9	známého
10	hamburského
11	magazínu
12	,
13	který
14	má
15	na
16	šest
17	miliónů
18	čtenářů
19	v
20	Německu
21	i
22	v
23	zahraničí
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Dozvěděli	VERB	0	root
2	se	PRON	1	expl:pv
3	při	ADP	5	case
4	té	DET	5	det
5	příležitosti	NOUN	1	obl
6	něco	PRON	1	obj
7	ze	ADP	8	case
8	zákulisí	NOUN	6	nmod
9	známého	ADJ	11	amod
10	hamburského	ADJ	11	amod
11	magazínu	NOUN	8	nmod
12	,	PUNCT	14	punct
13	který	DET	14	nsubj
14	má	VERB	11	acl:relcl
15	na	ADP	17	case
16	šest	NUM	17	nummod:gov
17	miliónů	NOUN	14	obl:arg
18	čtenářů	NOUN	17	nmod
19	v	ADP	20	case
20	Německu	PROPN	14	obl
21	i	CCONJ	23	cc
22	v	ADP	23	case
23	zahraničí	NOUN	20	conj
24	.	PUNCT	1	punct