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:
Jan Koukal nicméně připouští, že zpomalením komplexní bytové výstavby vznikl v metropoli dluh kolem 3400 bytů, který by měl být v blízké době vyrovnán.
Postion	Tokenization
1	Jan
2	Koukal
3	nicméně
4	připouští
5	,
6	že
7	zpomalením
8	komplexní
9	bytové
10	výstavby
11	vznikl
12	v
13	metropoli
14	dluh
15	kolem
16	3400
17	bytů
18	,
19	který
20	by
21	měl
22	být
23	v
24	blízké
25	době
26	vyrovnán
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Jan	PROPN	4	nsubj
2	Koukal	PROPN	1	flat
3	nicméně	CCONJ	4	cc
4	připouští	VERB	0	root
5	,	PUNCT	11	punct
6	že	SCONJ	11	mark
7	zpomalením	NOUN	11	obl
8	komplexní	ADJ	10	amod
9	bytové	ADJ	10	amod
10	výstavby	NOUN	7	nmod
11	vznikl	VERB	4	ccomp
12	v	ADP	13	case
13	metropoli	NOUN	11	obl
14	dluh	NOUN	11	nsubj
15	kolem	ADP	17	case
16	3400	NUM	17	nummod
17	bytů	NOUN	14	nmod
18	,	PUNCT	21	punct
19	který	DET	21	nsubj
20	by	AUX	21	aux
21	měl	VERB	14	acl:relcl
22	být	AUX	26	aux:pass
23	v	ADP	25	case
24	blízké	ADJ	25	amod
25	době	NOUN	26	obl
26	vyrovnán	ADJ	21	obj
27	.	PUNCT	4	punct