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: V lednu utržily České dráhy 136 tisíc korun, v únoru 1.2 milionu, v březnu 7.5 milionu a v dubnu 9.15 milionu korun, a to "samozřejmě v tvrdé měně", zdůraznil Zenkl.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	2	case
2	lednu	NOUN	3	obl
3	utržily	VERB	35	ccomp
4	České	ADJ	5	amod
5	dráhy	NOUN	3	nsubj
6	136	NUM	8	nummod:gov
7	tisíc	NUM	8	nummod:gov
8	korun	NOUN	3	obj
9	_	_	None	_
10	,	PUNCT	11	punct
11	v	ADP	11	case
12	únoru	NOUN	3	conj
13	1.2	NUM	13	nummod:gov
14	milionu	NOUN	11	orphan
15	,	PUNCT	11	punct
16	v	ADP	16	case
17	březnu	NOUN	11	orphan
18	7.5	NUM	18	nummod:gov
19	milionu	NOUN	11	orphan
20	a	CCONJ	11	cc
21	v	ADP	21	case
22	dubnu	NOUN	11	orphan
23	9.15	NUM	23	nummod:gov
24	milionu	NOUN	11	orphan
25	korun	NOUN	23	nmod
26	,	PUNCT	11	punct
27	a	CCONJ	11	cc
28	to	PART	26	fixed
29	"	PUNCT	11	punct
30	samozřejmě	ADV	11	cc
31	v	ADP	32	case
32	tvrdé	ADJ	32	amod
33	měně	NOUN	3	obl
34	"	PUNCT	32	punct
35	,	PUNCT	3	punct
36	zdůraznil	VERB	0	root
37	Zenkl	PROPN	35	nsubj
38	.	PUNCT	35	punct