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:
Dlouhodobějšími důvody růstu marky, zejména v křížových kursech, jsou vysoké rozpočtové deficity ostatních evropských zemí, nadcházející prezidentské volby ve Francii a politické skandály v Evropě.
Postion	Tokenization
1	Dlouhodobějšími
2	důvody
3	růstu
4	marky
5	,
6	zejména
7	v
8	křížových
9	kursech
10	,
11	jsou
12	vysoké
13	rozpočtové
14	deficity
15	ostatních
16	evropských
17	zemí
18	,
19	nadcházející
20	prezidentské
21	volby
22	ve
23	Francii
24	a
25	politické
26	skandály
27	v
28	Evropě
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Dlouhodobějšími	ADJ	2	amod
2	důvody	NOUN	0	root
3	růstu	NOUN	2	nmod
4	marky	NOUN	3	nmod
5	,	PUNCT	9	punct
6	zejména	ADV	9	advmod:emph
7	v	ADP	9	case
8	křížových	ADJ	9	amod
9	kursech	NOUN	3	nmod
10	,	PUNCT	9	punct
11	jsou	AUX	2	cop
12	vysoké	ADJ	14	amod
13	rozpočtové	ADJ	14	amod
14	deficity	NOUN	2	nsubj
15	ostatních	ADJ	17	amod
16	evropských	ADJ	17	amod
17	zemí	NOUN	14	nmod
18	,	PUNCT	21	punct
19	nadcházející	ADJ	21	amod
20	prezidentské	ADJ	21	amod
21	volby	NOUN	14	conj
22	ve	ADP	23	case
23	Francii	PROPN	21	nmod
24	a	CCONJ	26	cc
25	politické	ADJ	26	amod
26	skandály	NOUN	14	conj
27	v	ADP	28	case
28	Evropě	PROPN	26	nmod
29	.	PUNCT	2	punct