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: Za prvních šest měsíců automobilka Mercedes vyrobila 140 tisíc nákladních vozů, z toho 68.7 tisíce v Německu a 71.3 tisíce kusů v zahraničních závodech, což je argumentem podporujícím očekávání vyjádřené Wernerem.
Position	Tokenization	UPOS	Head	Deprel
1	Za	ADP	4	case
2	prvních	ADJ	3	amod
3	šest	NUM	4	nummod:gov
4	měsíců	NOUN	7	obl
5	automobilka	NOUN	7	nsubj
6	Mercedes	PROPN	5	nmod
7	vyrobila	VERB	0	root
8	140	NUM	11	nummod:gov
9	tisíc	NUM	11	nummod:gov
10	nákladních	ADJ	11	amod
11	vozů	NOUN	7	obj
12	_	_	None	_
13	,	PUNCT	16	punct
14	z	ADP	14	case
15	toho	DET	16	det
16	68.7	NUM	16	nummod:gov
17	tisíce	NOUN	7	conj
18	v	ADP	18	case
19	Německu	PROPN	16	orphan
20	a	CCONJ	29	cc
21	71.3	NUM	21	nummod:gov
22	tisíce	NOUN	16	orphan
23	kusů	NOUN	21	nmod
24	v	ADP	25	case
25	zahraničních	ADJ	25	amod
26	závodech	NOUN	16	orphan
27	,	PUNCT	29	punct
28	což	PRON	29	nsubj
29	je	AUX	29	cop
30	argumentem	NOUN	7	conj
31	podporujícím	ADJ	29	amod
32	očekávání	NOUN	30	obj
33	vyjádřené	ADJ	31	amod
34	Wernerem	PROPN	32	obl:arg
35	.	PUNCT	7	punct