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:
A stěží si lze představit takovou osobu bez toho, že by vyrůstala a profilovala se v určitém konkrétním politickém prostředí, tedy v prostředí nějaké strany.
Postion	Tokenization
1	A
2	stěží
3	si
4	lze
5	představit
6	takovou
7	osobu
8	bez
9	toho
10	,
11	že
12	by
13	vyrůstala
14	a
15	profilovala
16	se
17	v
18	určitém
19	konkrétním
20	politickém
21	prostředí
22	,
23	tedy
24	v
25	prostředí
26	nějaké
27	strany
28	.
Position	Tokenization	UPOS	Head	Deprel
1	A	CCONJ	4	cc
2	stěží	ADV	4	advmod
3	si	PRON	5	expl:pv
4	lze	VERB	0	root
5	představit	VERB	4	csubj
6	takovou	DET	7	det
7	osobu	NOUN	5	obj
8	bez	ADP	9	case
9	toho	DET	5	obl
10	,	PUNCT	13	punct
11	že	SCONJ	13	mark
12	by	AUX	13	aux
13	vyrůstala	VERB	9	acl
14	a	CCONJ	15	cc
15	profilovala	VERB	13	conj
16	se	PRON	15	obj
17	v	ADP	21	case
18	určitém	ADJ	21	amod
19	konkrétním	ADJ	21	amod
20	politickém	ADJ	21	amod
21	prostředí	NOUN	15	obl
22	,	PUNCT	25	punct
23	tedy	ADV	25	cc
24	v	ADP	25	case
25	prostředí	NOUN	21	appos
26	nějaké	DET	27	det
27	strany	NOUN	25	nmod
28	.	PUNCT	4	punct