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:
Dalších 25 lidí s těžším zdravotním a mentálním postižením zaměstná příbramská firma Modrá hvězda Tamp v chráněné dílně, kterou otevře ve druhém pavilonu jeslí na podzim.
Postion	Tokenization
1	Dalších
2	25
3	lidí
4	s
5	těžším
6	zdravotním
7	a
8	mentálním
9	postižením
10	zaměstná
11	příbramská
12	firma
13	Modrá
14	hvězda
15	Tamp
16	v
17	chráněné
18	dílně
19	,
20	kterou
21	otevře
22	ve
23	druhém
24	pavilonu
25	jeslí
26	na
27	podzim
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Dalších	ADJ	2	amod
2	25	NUM	3	nummod:gov
3	lidí	NOUN	10	obj
4	s	ADP	9	case
5	těžším	ADJ	9	amod
6	zdravotním	ADJ	9	amod
7	a	CCONJ	8	cc
8	mentálním	ADJ	6	conj
9	postižením	NOUN	3	nmod
10	zaměstná	VERB	0	root
11	příbramská	ADJ	12	amod
12	firma	NOUN	10	nsubj
13	Modrá	ADJ	14	amod
14	hvězda	NOUN	12	nmod
15	Tamp	PROPN	14	nmod
16	v	ADP	18	case
17	chráněné	ADJ	18	amod
18	dílně	NOUN	10	obl
19	,	PUNCT	21	punct
20	kterou	DET	21	obj
21	otevře	VERB	18	acl:relcl
22	ve	ADP	24	case
23	druhém	ADJ	24	amod
24	pavilonu	NOUN	21	obl
25	jeslí	NOUN	24	nmod
26	na	ADP	27	case
27	podzim	NOUN	21	obl
28	.	PUNCT	10	punct