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: Okolo 400 metrů vysoký 90patrový mrakodrap s převážně kancelářskými místnostmi, nejvyšší svého druhu v Asii, a ještě další 46patrovou budovu se rozhodla postavit v čínské Šanghaji jedna z nejvýznamnějších japonských stavebních společností Mori Building Co.
Position	Tokenization	UPOS	Head	Deprel
1	Okolo	ADP	3	case
2	400	NUM	3	nummod
3	metrů	NOUN	4	obl
4	vysoký	ADJ	7	amod
5	90	NUM	6	nummod
6	patrový	ADJ	7	amod
7	mrakodrap	NOUN	27	obj
8	s	ADP	11	case
9	převážně	ADV	10	advmod
10	kancelářskými	ADJ	11	amod
11	místnostmi	NOUN	7	nmod
12	,	PUNCT	13	punct
13	nejvyšší	ADJ	7	amod
14	svého	DET	15	det
15	druhu	NOUN	13	obl
16	v	ADP	17	case
17	Asii	PROPN	13	obl
18	,	PUNCT	24	punct
19	a	CCONJ	24	cc
20	ještě	ADV	21	advmod:emph
21	další	ADJ	24	amod
22	46	NUM	23	nummod
23	patrovou	ADJ	24	amod
24	budovu	NOUN	7	conj
25	se	PRON	26	expl:pv
26	rozhodla	VERB	0	root
27	postavit	VERB	26	xcomp
28	v	ADP	30	case
29	čínské	ADJ	30	amod
30	Šanghaji	PROPN	27	obl
31	jedna	NUM	26	nsubj
32	z	ADP	36	case
33	nejvýznamnějších	ADJ	36	amod
34	japonských	ADJ	36	amod
35	stavebních	ADJ	36	amod
36	společností	NOUN	31	nmod
37	Mori	ADJ	38	amod
38	Building	ADJ	36	nmod
39	Co	PROPN	38	flat:foreign
40	.	PUNCT	26	punct