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: Husa na provázku mobilizuje síly, aby bez Vladimíra Javorského, který přijal angažmá ve francouzském Blois, za provozu zvládla přechod do vytoužené budovy, jejíž dokončení si vyžádá ještě 15 miliónů Kčs.
Position	Tokenization	UPOS	Head	Deprel
1	Husa	NOUN	4	nsubj
2	na	ADP	3	case
3	provázku	NOUN	1	nmod
4	mobilizuje	VERB	0	root
5	síly	NOUN	4	obj
6	,	PUNCT	22	punct
7	aby	_	None	_
8	aby	SCONJ	22	mark
9	by	AUX	22	aux
10	bez	ADP	10	case
11	Vladimíra	PROPN	22	obl
12	Javorského	ADJ	10	flat
13	,	PUNCT	14	punct
14	který	DET	14	nsubj
15	přijal	VERB	10	acl:relcl
16	angažmá	NOUN	14	obj
17	ve	ADP	18	case
18	francouzském	ADJ	18	amod
19	Blois	PROPN	14	nmod
20	,	PUNCT	14	punct
21	za	ADP	21	case
22	provozu	NOUN	22	obl
23	zvládla	VERB	4	advcl
24	přechod	NOUN	22	obj
25	do	ADP	26	case
26	vytoužené	ADJ	26	amod
27	budovy	NOUN	23	nmod
28	,	PUNCT	31	punct
29	jejíž	DET	29	det
30	dokončení	NOUN	31	nsubj
31	si	PRON	31	expl:pv
32	vyžádá	VERB	26	acl:relcl
33	ještě	ADV	33	advmod:emph
34	15	NUM	34	nummod:gov
35	miliónů	NOUN	31	obj
36	Kčs	NOUN	34	nmod
37	.	PUNCT	4	punct