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:
Nejde však jen o to, mít co nejvíce kontejnerů, ale i navazující technologii, to jest automobily na odvoz a třídicí linku, která se buduje nákladem 17 mil. Kč.
Postion	Tokenization
1	Nejde
2	však
3	jen
4	o
5	to
6	,
7	mít
8	co
9	nejvíce
10	kontejnerů
11	,
12	ale
13	i
14	navazující
15	technologii
16	,
17	to
18	jest
19	automobily
20	na
21	odvoz
22	a
23	třídicí
24	linku
25	,
26	která
27	se
28	buduje
29	nákladem
30	17
31	mil
32	.
33	Kč
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Nejde	VERB	0	root
2	však	CCONJ	1	cc
3	jen	PART	5	advmod:emph
4	o	ADP	5	case
5	to	DET	1	obl:arg
6	,	PUNCT	7	punct
7	mít	VERB	5	acl
8	co	ADV	9	advmod
9	nejvíce	ADV	7	obj
10	kontejnerů	NOUN	9	nmod
11	,	PUNCT	5	punct
12	ale	CCONJ	5	cc
13	i	CCONJ	15	advmod:emph
14	navazující	ADJ	15	amod
15	technologii	NOUN	5	nmod
16	,	PUNCT	19	punct
17	to	DET	19	cc
18	jest	VERB	17	fixed
19	automobily	NOUN	15	appos
20	na	ADP	21	case
21	odvoz	NOUN	19	nmod
22	a	CCONJ	24	cc
23	třídicí	ADJ	24	amod
24	linku	NOUN	19	conj
25	,	PUNCT	28	punct
26	která	DET	28	nsubj:pass
27	se	PRON	28	expl:pass
28	buduje	VERB	24	acl:relcl
29	nákladem	NOUN	28	obl
30	17	NUM	31	nummod
31	mil	NOUN	33	nmod
32	.	PUNCT	31	punct
33	Kč	NOUN	29	nmod
34	.	PUNCT	1	punct