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:
Jörg Haider, vůdčí osobnost rakouské populistické pravice a obdivovatel ekonomického modelu "plné zaměstnanosti", aplikovaného v Třetí říši, má obdobný názor.
Postion	Tokenization
1	Jörg
2	Haider
3	,
4	vůdčí
5	osobnost
6	rakouské
7	populistické
8	pravice
9	a
10	obdivovatel
11	ekonomického
12	modelu
13	"
14	plné
15	zaměstnanosti
16	"
17	,
18	aplikovaného
19	v
20	Třetí
21	říši
22	,
23	má
24	obdobný
25	názor
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Jörg	PROPN	23	nsubj
2	Haider	PROPN	1	flat
3	,	PUNCT	5	punct
4	vůdčí	ADJ	5	amod
5	osobnost	NOUN	1	appos
6	rakouské	ADJ	8	amod
7	populistické	ADJ	8	amod
8	pravice	NOUN	5	nmod
9	a	CCONJ	10	cc
10	obdivovatel	NOUN	5	conj
11	ekonomického	ADJ	12	amod
12	modelu	NOUN	10	nmod
13	"	PUNCT	15	punct
14	plné	ADJ	15	amod
15	zaměstnanosti	NOUN	12	nmod
16	"	PUNCT	15	punct
17	,	PUNCT	18	punct
18	aplikovaného	ADJ	12	amod
19	v	ADP	21	case
20	Třetí	ADJ	21	amod
21	říši	NOUN	18	obl
22	,	PUNCT	5	punct
23	má	VERB	0	root
24	obdobný	ADJ	25	amod
25	názor	NOUN	23	obj
26	.	PUNCT	23	punct