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:
GM Czechoslovakia spojuje úspěch na našem trhu kromě kvality svých vozů ani ne tak s možným snížením cel (a tedy cen), nýbrž opatřeními proti šedému dovozu.
Postion	Tokenization
1	GM
2	Czechoslovakia
3	spojuje
4	úspěch
5	na
6	našem
7	trhu
8	kromě
9	kvality
10	svých
11	vozů
12	ani
13	ne
14	tak
15	s
16	možným
17	snížením
18	cel
19	(
20	a
21	tedy
22	cen
23	)
24	,
25	nýbrž
26	opatřeními
27	proti
28	šedému
29	dovozu
30	.
Position	Tokenization	UPOS	Head	Deprel
1	GM	PROPN	3	nsubj
2	Czechoslovakia	PROPN	1	nmod
3	spojuje	VERB	0	root
4	úspěch	NOUN	3	obj
5	na	ADP	7	case
6	našem	DET	7	det
7	trhu	NOUN	4	nmod
8	kromě	ADP	9	case
9	kvality	NOUN	3	obl
10	svých	DET	11	det
11	vozů	NOUN	9	nmod
12	ani	CCONJ	13	advmod:emph
13	ne	PART	14	advmod:emph
14	tak	ADV	3	advmod
15	s	ADP	17	case
16	možným	ADJ	17	amod
17	snížením	NOUN	3	obl:arg
18	cel	NOUN	17	nmod
19	(	PUNCT	22	punct
20	a	CCONJ	22	cc
21	tedy	ADV	22	cc
22	cen	NOUN	18	conj
23	)	PUNCT	22	punct
24	,	PUNCT	26	punct
25	nýbrž	CCONJ	26	cc
26	opatřeními	NOUN	17	conj
27	proti	ADP	29	case
28	šedému	ADJ	29	amod
29	dovozu	NOUN	26	nmod
30	.	PUNCT	3	punct