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 názoru německého ministra obrany Volkera Rüheho se bude moci Severoatlantická aliance rozšířit do východní Evropy ještě před rokem 2000.
Postion	Tokenization
1	Podle
2	názoru
3	německého
4	ministra
5	obrany
6	Volkera
7	Rüheho
8	se
9	bude
10	moci
11	Severoatlantická
12	aliance
13	rozšířit
14	do
15	východní
16	Evropy
17	ještě
18	před
19	rokem
20	2000
21	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	2	case
2	názoru	NOUN	10	obl
3	německého	ADJ	4	amod
4	ministra	NOUN	2	nmod
5	obrany	NOUN	4	nmod
6	Volkera	PROPN	4	flat
7	Rüheho	PROPN	4	flat
8	se	PRON	13	expl:pv
9	bude	AUX	10	aux
10	moci	VERB	0	root
11	Severoatlantická	ADJ	12	amod
12	aliance	NOUN	10	nsubj
13	rozšířit	VERB	10	xcomp
14	do	ADP	16	case
15	východní	ADJ	16	amod
16	Evropy	PROPN	10	obl
17	ještě	ADV	19	advmod:emph
18	před	ADP	19	case
19	rokem	NOUN	10	obl
20	2000	NUM	19	nummod
21	.	PUNCT	10	punct