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:
Pro Chronotechnu má tato fúze znamenat vyřešení nepříznivé situace, do které se akciová společnost dostala poté, co prudce poklesl odbyt jejích budíků na západních trzích.
Postion	Tokenization
1	Pro
2	Chronotechnu
3	má
4	tato
5	fúze
6	znamenat
7	vyřešení
8	nepříznivé
9	situace
10	,
11	do
12	které
13	se
14	akciová
15	společnost
16	dostala
17	poté
18	,
19	co
20	prudce
21	poklesl
22	odbyt
23	jejích
24	budíků
25	na
26	západních
27	trzích
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Pro	ADP	2	case
2	Chronotechnu	PROPN	6	obl:arg
3	má	VERB	0	root
4	tato	DET	5	det
5	fúze	NOUN	3	nsubj
6	znamenat	VERB	3	xcomp
7	vyřešení	NOUN	6	obj
8	nepříznivé	ADJ	9	amod
9	situace	NOUN	7	nmod
10	,	PUNCT	16	punct
11	do	ADP	12	case
12	které	DET	16	obl
13	se	PRON	16	expl:pv
14	akciová	ADJ	15	amod
15	společnost	NOUN	16	nsubj
16	dostala	VERB	9	acl:relcl
17	poté	ADV	16	advmod
18	,	PUNCT	21	punct
19	co	SCONJ	21	mark
20	prudce	ADV	21	advmod
21	poklesl	VERB	16	advcl
22	odbyt	NOUN	21	nsubj
23	jejích	DET	24	det
24	budíků	NOUN	22	nmod
25	na	ADP	27	case
26	západních	ADJ	27	amod
27	trzích	NOUN	22	nmod
28	.	PUNCT	3	punct