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:
Spodní část severní strany Malostranského náměstí pomalu obrůstá lešením a vedle hustého provozu aut komplikují zhruba sedmdesátce stavebních dělníků život i důslední památkáři.
Postion	Tokenization
1	Spodní
2	část
3	severní
4	strany
5	Malostranského
6	náměstí
7	pomalu
8	obrůstá
9	lešením
10	a
11	vedle
12	hustého
13	provozu
14	aut
15	komplikují
16	zhruba
17	sedmdesátce
18	stavebních
19	dělníků
20	život
21	i
22	důslední
23	památkáři
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Spodní	ADJ	2	amod
2	část	NOUN	8	nsubj
3	severní	ADJ	4	amod
4	strany	NOUN	2	nmod
5	Malostranského	ADJ	6	amod
6	náměstí	NOUN	4	nmod
7	pomalu	ADV	8	advmod
8	obrůstá	VERB	0	root
9	lešením	NOUN	8	obl:arg
10	a	CCONJ	15	cc
11	vedle	ADP	13	case
12	hustého	ADJ	13	amod
13	provozu	NOUN	15	obl
14	aut	NOUN	13	nmod
15	komplikují	VERB	8	conj
16	zhruba	ADV	17	advmod:emph
17	sedmdesátce	NOUN	15	obl:arg
18	stavebních	ADJ	19	amod
19	dělníků	NOUN	17	nmod
20	život	NOUN	15	obj
21	i	CCONJ	23	advmod:emph
22	důslední	ADJ	23	amod
23	památkáři	NOUN	15	nsubj
24	.	PUNCT	8	punct