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 text: S tím si však apriorismem zaslepení oponenti, a to nejen z řad Svobodných demokratů, nedají práci, takže jejich negativní vymezování se vůči ODS je vytlačuje zcela mimo rámec, ke kterému se původně hlásili.
Position	Tokenization	UPOS	Head	Deprel
1	S	ADP	2	case
2	tím	DET	17	obl
3	si	PRON	17	obl:arg
4	však	CCONJ	17	cc
5	apriorismem	NOUN	6	obl:arg
6	zaslepení	ADJ	7	amod
7	oponenti	NOUN	17	nsubj
8	,	PUNCT	15	punct
9	a	CCONJ	15	cc
10	to	PART	9	fixed
11	nejen	PART	15	advmod:emph
12	z	ADP	15	case
13	řad	NOUN	12	fixed
14	Svobodných	ADJ	15	amod
15	demokratů	NOUN	7	nmod
16	,	PUNCT	15	punct
17	nedají	VERB	0	root
18	práci	NOUN	17	obj
19	,	PUNCT	28	punct
20	takže	SCONJ	28	mark
21	jejich	DET	23	det
22	negativní	ADJ	23	amod
23	vymezování	NOUN	28	nsubj
24	se	PRON	23	nmod
25	vůči	ADP	26	case
26	ODS	PROPN	23	nmod
27	je	PRON	28	obj
28	vytlačuje	VERB	17	advcl
29	zcela	ADV	28	advmod
30	mimo	ADP	31	case
31	rámec	NOUN	28	obl
32	,	PUNCT	37	punct
33	ke	ADP	34	case
34	kterému	DET	37	obl
35	se	PRON	37	expl:pv
36	původně	ADV	37	advmod
37	hlásili	VERB	31	acl:relcl
38	.	PUNCT	17	punct