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:
Londýn si přímo na summitu v Maastrichtu loni v prosinci vynutil výrazné úpravy přijímaného dokumentu, zejména v oblasti společné sociální politiky a při zavádění společné měny.
Postion	Tokenization
1	Londýn
2	si
3	přímo
4	na
5	summitu
6	v
7	Maastrichtu
8	loni
9	v
10	prosinci
11	vynutil
12	výrazné
13	úpravy
14	přijímaného
15	dokumentu
16	,
17	zejména
18	v
19	oblasti
20	společné
21	sociální
22	politiky
23	a
24	při
25	zavádění
26	společné
27	měny
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Londýn	PROPN	11	nsubj
2	si	PRON	11	obl
3	přímo	ADV	5	advmod:emph
4	na	ADP	5	case
5	summitu	NOUN	11	obl
6	v	ADP	7	case
7	Maastrichtu	PROPN	5	nmod
8	loni	ADV	11	advmod
9	v	ADP	10	case
10	prosinci	NOUN	11	obl
11	vynutil	VERB	0	root
12	výrazné	ADJ	13	amod
13	úpravy	NOUN	11	obj
14	přijímaného	ADJ	15	amod
15	dokumentu	NOUN	13	nmod
16	,	PUNCT	19	punct
17	zejména	ADV	19	advmod:emph
18	v	ADP	19	case
19	oblasti	NOUN	13	nmod
20	společné	ADJ	22	amod
21	sociální	ADJ	22	amod
22	politiky	NOUN	19	nmod
23	a	CCONJ	25	cc
24	při	ADP	25	case
25	zavádění	NOUN	19	conj
26	společné	ADJ	27	amod
27	měny	NOUN	25	nmod
28	.	PUNCT	11	punct