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:
Jedno takové místo si vyhlédli čeští a němečtí sochaři (čerství absolventi a studenti uměleckých škol) na Smíchově nedaleko Anděla, v ulici Na bělidle.
Postion	Tokenization
1	Jedno
2	takové
3	místo
4	si
5	vyhlédli
6	čeští
7	a
8	němečtí
9	sochaři
10	(
11	čerství
12	absolventi
13	a
14	studenti
15	uměleckých
16	škol
17	)
18	na
19	Smíchově
20	nedaleko
21	Anděla
22	,
23	v
24	ulici
25	Na
26	bělidle
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Jedno	NUM	3	nummod
2	takové	DET	3	det
3	místo	NOUN	5	obj
4	si	PRON	5	expl:pv
5	vyhlédli	VERB	0	root
6	čeští	ADJ	9	amod
7	a	CCONJ	8	cc
8	němečtí	ADJ	6	conj
9	sochaři	NOUN	5	nsubj
10	(	PUNCT	12	punct
11	čerství	ADJ	12	amod
12	absolventi	NOUN	9	appos
13	a	CCONJ	14	cc
14	studenti	NOUN	12	conj
15	uměleckých	ADJ	16	amod
16	škol	NOUN	12	nmod
17	)	PUNCT	12	punct
18	na	ADP	19	case
19	Smíchově	PROPN	5	obl
20	nedaleko	ADV	21	case
21	Anděla	PROPN	5	obl
22	,	PUNCT	24	punct
23	v	ADP	24	case
24	ulici	NOUN	5	obl
25	Na	ADP	26	case
26	bělidle	NOUN	24	nmod
27	.	PUNCT	5	punct