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:
Produkce Nissanu v posledním měsíci prudce poklesla o 17.7 procenta na 139407 vozů a červenec tak byl 25. měsícem nepřetržitého poklesu.
Postion	Tokenization
1	Produkce
2	Nissanu
3	v
4	posledním
5	měsíci
6	prudce
7	poklesla
8	o
9	17.7
10	procenta
11	na
12	139407
13	vozů
14	a
15	červenec
16	tak
17	byl
18	25
19	.
20	měsícem
21	nepřetržitého
22	poklesu
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Produkce	NOUN	7	nsubj
2	Nissanu	PROPN	1	nmod
3	v	ADP	5	case
4	posledním	ADJ	5	amod
5	měsíci	NOUN	1	nmod
6	prudce	ADV	7	advmod
7	poklesla	VERB	0	root
8	o	ADP	10	case
9	17.7	NUM	10	nummod:gov
10	procenta	NOUN	7	obl
11	na	ADP	13	case
12	139407	NUM	13	nummod:gov
13	vozů	NOUN	7	obl:arg
14	a	CCONJ	20	cc
15	červenec	NOUN	20	nsubj
16	tak	ADV	20	advmod
17	byl	AUX	20	cop
18	25	NUM	20	nummod
19	.	PUNCT	18	punct
20	měsícem	NOUN	7	conj
21	nepřetržitého	ADJ	22	amod
22	poklesu	NOUN	20	nmod
23	.	PUNCT	7	punct