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:
Hodnocení prestiže lékařského povolání tak, jak je odhadují lékaři, je spíš průměrné a pohybuje se v pásmech od 4 do 8 bodů 10bodové stupnice.
Postion	Tokenization
1	Hodnocení
2	prestiže
3	lékařského
4	povolání
5	tak
6	,
7	jak
8	je
9	odhadují
10	lékaři
11	,
12	je
13	spíš
14	průměrné
15	a
16	pohybuje
17	se
18	v
19	pásmech
20	od
21	4
22	do
23	8
24	bodů
25	10
26	bodové
27	stupnice
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Hodnocení	NOUN	14	nsubj
2	prestiže	NOUN	1	nmod
3	lékařského	ADJ	4	amod
4	povolání	NOUN	2	nmod
5	tak	ADV	14	advmod
6	,	PUNCT	9	punct
7	jak	ADV	9	advmod
8	je	PRON	9	obj
9	odhadují	VERB	5	advcl
10	lékaři	NOUN	9	nsubj
11	,	PUNCT	9	punct
12	je	AUX	14	cop
13	spíš	ADV	14	advmod
14	průměrné	ADJ	0	root
15	a	CCONJ	16	cc
16	pohybuje	VERB	14	conj
17	se	PRON	16	expl:pv
18	v	ADP	19	case
19	pásmech	NOUN	16	obl
20	od	ADP	21	case
21	4	NUM	19	nummod
22	do	ADP	24	case
23	8	NUM	24	nummod
24	bodů	NOUN	19	nmod
25	10	NUM	26	obl
26	bodové	ADJ	27	amod
27	stupnice	NOUN	24	nmod
28	.	PUNCT	14	punct