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: Bez ohledu na to, že kandidát sociálních demokratů nemá ve skutečnosti žádnou reálnou šanci stát se primátorem, zaručuje první místo na kandidátce nejen takřka jisté místo v pražském zastupitelstvu, ale i výhodnou výchozí pozici pro nadcházející sjezd ČSSD.
Position	Tokenization	UPOS	Head	Deprel
1	Bez	ADP	4	case
2	ohledu	NOUN	1	fixed
3	na	ADP	1	fixed
4	to	DET	20	obl
5	,	PUNCT	10	punct
6	že	SCONJ	10	mark
7	kandidát	NOUN	10	nsubj
8	sociálních	ADJ	9	amod
9	demokratů	NOUN	7	nmod
10	nemá	VERB	4	acl
11	ve	ADP	12	case
12	skutečnosti	NOUN	10	obl
13	žádnou	DET	15	det
14	reálnou	ADJ	15	amod
15	šanci	NOUN	10	obj
16	stát	VERB	15	acl
17	se	PRON	16	expl:pv
18	primátorem	NOUN	16	obl:arg
19	,	PUNCT	10	punct
20	zaručuje	VERB	0	root
21	první	ADJ	22	amod
22	místo	NOUN	20	nsubj
23	na	ADP	24	case
24	kandidátce	NOUN	22	nmod
25	nejen	PART	28	advmod:emph
26	takřka	ADV	27	advmod
27	jisté	ADJ	28	amod
28	místo	NOUN	20	obj
29	v	ADP	31	case
30	pražském	ADJ	31	amod
31	zastupitelstvu	NOUN	28	nmod
32	,	PUNCT	37	punct
33	ale	CCONJ	37	cc
34	i	CCONJ	37	advmod:emph
35	výhodnou	ADJ	37	amod
36	výchozí	ADJ	37	amod
37	pozici	NOUN	28	conj
38	pro	ADP	40	case
39	nadcházející	ADJ	40	amod
40	sjezd	NOUN	37	nmod
41	ČSSD	PROPN	40	nmod
42	.	PUNCT	20	punct