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:
Šest cylindrokónických nádob o průměru téměř pěti metrů a 17metrové výšce už od pondělka putuje lodí od německého výrobce Ziemann+Bauer.
Postion	Tokenization
1	Šest
2	cylindrokónických
3	nádob
4	o
5	průměru
6	téměř
7	pěti
8	metrů
9	a
10	17
11	metrové
12	výšce
13	už
14	od
15	pondělka
16	putuje
17	lodí
18	od
19	německého
20	výrobce
21	Ziemann
22	+
23	Bauer
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Šest	NUM	3	nummod:gov
2	cylindrokónických	ADJ	3	amod
3	nádob	NOUN	16	nsubj
4	o	ADP	5	case
5	průměru	NOUN	3	nmod
6	téměř	ADV	8	advmod:emph
7	pěti	NUM	8	nummod
8	metrů	NOUN	5	nmod
9	a	CCONJ	12	cc
10	17	NUM	11	obl
11	metrové	ADJ	12	amod
12	výšce	NOUN	5	conj
13	už	ADV	15	advmod:emph
14	od	ADP	15	case
15	pondělka	NOUN	16	obl
16	putuje	VERB	0	root
17	lodí	NOUN	16	obl
18	od	ADP	21	case
19	německého	ADJ	20	amod
20	výrobce	NOUN	21	nmod
21	Ziemann	PROPN	16	obl
22	+	SYM	23	cc
23	Bauer	PROPN	21	conj
24	.	PUNCT	16	punct