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: Podle zástupců těchto firem, které vyhrály výběrové řízení, má určité zpoždění v Jihlavě výhodu v tom, že se město vyhne potížím plynoucím z používání nepovolených a nekvalitních systémů.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	2	case
2	zástupců	NOUN	11	obl
3	těchto	DET	4	det
4	firem	NOUN	2	nmod
5	,	PUNCT	7	punct
6	které	DET	7	nsubj
7	vyhrály	VERB	4	acl:relcl
8	výběrové	ADJ	9	amod
9	řízení	NOUN	7	obj
10	,	PUNCT	7	punct
11	má	VERB	0	root
12	určité	ADJ	13	amod
13	zpoždění	NOUN	11	nsubj
14	v	ADP	15	case
15	Jihlavě	PROPN	13	nmod
16	výhodu	NOUN	11	obj
17	v	ADP	18	case
18	tom	DET	16	det
19	,	PUNCT	23	punct
20	že	SCONJ	23	mark
21	se	PRON	23	expl:pv
22	město	NOUN	23	nsubj
23	vyhne	VERB	18	acl
24	potížím	NOUN	23	obl:arg
25	plynoucím	ADJ	24	amod
26	z	ADP	27	case
27	používání	NOUN	25	obl:arg
28	nepovolených	ADJ	31	amod
29	a	CCONJ	30	cc
30	nekvalitních	ADJ	28	conj
31	systémů	NOUN	27	nmod
32	.	PUNCT	11	punct