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:
Nejsou prý peníze na předvolební kampaň, a tak není ani na plakáty a v Praze budete v příštích měsících bilboardy s tvářemi sociálnědemokratických lídrů hledat s největší pravděpodobností marně.
Postion	Tokenization
1	Nejsou
2	prý
3	peníze
4	na
5	předvolební
6	kampaň
7	,
8	a
9	tak
10	není
11	ani
12	na
13	plakáty
14	a
15	v
16	Praze
17	budete
18	v
19	příštích
20	měsících
21	bilboardy
22	s
23	tvářemi
24	sociálnědemokratických
25	lídrů
26	hledat
27	s
28	největší
29	pravděpodobností
30	marně
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Nejsou	VERB	0	root
2	prý	PART	1	advmod
3	peníze	NOUN	1	nsubj
4	na	ADP	6	case
5	předvolební	ADJ	6	amod
6	kampaň	NOUN	3	nmod
7	,	PUNCT	10	punct
8	a	CCONJ	10	cc
9	tak	ADV	10	cc
10	není	VERB	1	conj
11	ani	CCONJ	13	advmod:emph
12	na	ADP	13	case
13	plakáty	NOUN	10	obl
14	a	CCONJ	26	cc
15	v	ADP	16	case
16	Praze	PROPN	26	obl
17	budete	AUX	26	aux
18	v	ADP	20	case
19	příštích	ADJ	20	amod
20	měsících	NOUN	26	obl
21	bilboardy	NOUN	26	obj
22	s	ADP	23	case
23	tvářemi	NOUN	21	nmod
24	sociálnědemokratických	ADJ	25	amod
25	lídrů	NOUN	23	nmod
26	hledat	VERB	1	conj
27	s	ADP	29	case
28	největší	ADJ	29	amod
29	pravděpodobností	NOUN	26	obl
30	marně	ADV	26	advmod
31	.	PUNCT	1	punct