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:
Místo předpokládaných 50000 nových pracovních příležitostí se počet nezaměstnaných přiblížil k třímiliónové hranici, což odpovídá 19.3 procenta pracovních sil.
Postion	Tokenization
1	Místo
2	předpokládaných
3	50000
4	nových
5	pracovních
6	příležitostí
7	se
8	počet
9	nezaměstnaných
10	přiblížil
11	k
12	třímiliónové
13	hranici
14	,
15	což
16	odpovídá
17	19.3
18	procenta
19	pracovních
20	sil
21	.
Position	Tokenization	UPOS	Head	Deprel
1	Místo	ADP	6	case
2	předpokládaných	ADJ	6	amod
3	50000	NUM	6	nummod
4	nových	ADJ	6	amod
5	pracovních	ADJ	6	amod
6	příležitostí	NOUN	10	obl
7	se	PRON	10	expl:pv
8	počet	NOUN	10	nsubj
9	nezaměstnaných	NOUN	8	nmod
10	přiblížil	VERB	0	root
11	k	ADP	13	case
12	třímiliónové	ADJ	13	amod
13	hranici	NOUN	10	obl
14	,	PUNCT	16	punct
15	což	PRON	16	nsubj
16	odpovídá	VERB	10	conj
17	19.3	NUM	18	nummod:gov
18	procenta	NOUN	16	obj
19	pracovních	ADJ	20	amod
20	sil	NOUN	18	nmod
21	.	PUNCT	10	punct