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:
Na konci letošního roku se přitom na německých silnicích pohybuje 50.7 miliónu automobilů všeho druhu, z toho téměř 38 miliónů osobních.
Postion	Tokenization
1	Na
2	konci
3	letošního
4	roku
5	se
6	přitom
7	na
8	německých
9	silnicích
10	pohybuje
11	50.7
12	miliónu
13	automobilů
14	všeho
15	druhu
16	,
17	z
18	toho
19	téměř
20	38
21	miliónů
22	osobních
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	2	case
2	konci	NOUN	10	obl
3	letošního	ADJ	4	amod
4	roku	NOUN	2	nmod
5	se	PRON	10	expl:pv
6	přitom	ADV	10	advmod
7	na	ADP	9	case
8	německých	ADJ	9	amod
9	silnicích	NOUN	10	obl
10	pohybuje	VERB	0	root
11	50.7	NUM	12	nummod:gov
12	miliónu	NOUN	10	nsubj
13	automobilů	NOUN	12	nmod
14	všeho	DET	15	det
15	druhu	NOUN	13	nmod
16	,	PUNCT	21	punct
17	z	ADP	18	case
18	toho	DET	20	det
19	téměř	ADV	20	advmod
20	38	NUM	21	nummod:gov
21	miliónů	NOUN	10	conj
22	osobních	ADJ	20	dep
23	.	PUNCT	10	punct