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:
A.s. ČKD úspěšně zahájila jednání o trolejbusech pro argentinské město Mendosa a získala i předběžnou objednávku na výrobu podvozků pro lokomotivy a železniční vagóny v Argentině.
Postion	Tokenization
1	A
2	.
3	s
4	.
5	ČKD
6	úspěšně
7	zahájila
8	jednání
9	o
10	trolejbusech
11	pro
12	argentinské
13	město
14	Mendosa
15	a
16	získala
17	i
18	předběžnou
19	objednávku
20	na
21	výrobu
22	podvozků
23	pro
24	lokomotivy
25	a
26	železniční
27	vagóny
28	v
29	Argentině
30	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADJ	3	amod
2	.	PUNCT	1	punct
3	s	NOUN	7	nsubj
4	.	PUNCT	3	punct
5	ČKD	PROPN	3	nmod
6	úspěšně	ADV	7	advmod
7	zahájila	VERB	0	root
8	jednání	NOUN	7	obj
9	o	ADP	10	case
10	trolejbusech	NOUN	8	nmod
11	pro	ADP	13	case
12	argentinské	ADJ	13	amod
13	město	NOUN	10	nmod
14	Mendosa	PROPN	13	nmod
15	a	CCONJ	16	cc
16	získala	VERB	7	conj
17	i	CCONJ	19	advmod:emph
18	předběžnou	ADJ	19	amod
19	objednávku	NOUN	16	obj
20	na	ADP	21	case
21	výrobu	NOUN	19	nmod
22	podvozků	NOUN	21	nmod
23	pro	ADP	24	case
24	lokomotivy	NOUN	22	nmod
25	a	CCONJ	27	cc
26	železniční	ADJ	27	amod
27	vagóny	NOUN	24	conj
28	v	ADP	29	case
29	Argentině	PROPN	21	nmod
30	.	PUNCT	7	punct