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: Profese sociálních kurátorů, kteří pečují o propuštěné vězně, ale také o jiné lidi v nouzi má v ČR zatím stále na rozdíl např. od sousedního Německa spíše nižší společenskou prestiž.
Position	Tokenization	UPOS	Head	Deprel
1	Profese	NOUN	18	nsubj
2	sociálních	ADJ	3	amod
3	kurátorů	NOUN	1	nmod
4	,	PUNCT	6	punct
5	kteří	DET	6	nsubj
6	pečují	VERB	3	acl:relcl
7	o	ADP	9	case
8	propuštěné	ADJ	9	amod
9	vězně	NOUN	6	obl:arg
10	,	PUNCT	15	punct
11	ale	CCONJ	15	cc
12	také	ADV	15	advmod:emph
13	o	ADP	15	case
14	jiné	ADJ	15	amod
15	lidi	NOUN	9	conj
16	v	ADP	17	case
17	nouzi	NOUN	15	nmod
18	má	VERB	0	root
19	v	ADP	20	case
20	ČR	PROPN	18	obl
21	zatím	ADV	18	advmod
22	stále	ADV	18	advmod
23	na	ADP	24	case
24	rozdíl	NOUN	18	obl
25	např	ADV	29	advmod:emph
26	.	PUNCT	25	punct
27	od	ADP	29	case
28	sousedního	ADJ	29	amod
29	Německa	PROPN	24	nmod
30	spíše	ADV	31	advmod
31	nižší	ADJ	33	amod
32	společenskou	ADJ	33	amod
33	prestiž	NOUN	18	obj
34	.	PUNCT	18	punct