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:
Společnost pro trvale udržitelný život (STUŽ) považuje alternativní návrh dopravní koncepce za neobyčejně přínosný a podporuje argumenty i postup, který Děti Země zvolily.
Postion	Tokenization
1	Společnost
2	pro
3	trvale
4	udržitelný
5	život
6	(
7	STUŽ
8	)
9	považuje
10	alternativní
11	návrh
12	dopravní
13	koncepce
14	za
15	neobyčejně
16	přínosný
17	a
18	podporuje
19	argumenty
20	i
21	postup
22	,
23	který
24	Děti
25	Země
26	zvolily
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Společnost	NOUN	9	nsubj
2	pro	ADP	5	case
3	trvale	ADV	4	advmod
4	udržitelný	ADJ	5	amod
5	život	NOUN	1	nmod
6	(	PUNCT	7	punct
7	STUŽ	PROPN	1	appos
8	)	PUNCT	7	punct
9	považuje	VERB	0	root
10	alternativní	ADJ	11	amod
11	návrh	NOUN	9	obj
12	dopravní	ADJ	13	amod
13	koncepce	NOUN	11	nmod
14	za	ADP	16	case
15	neobyčejně	ADV	16	advmod
16	přínosný	ADJ	9	obl:arg
17	a	CCONJ	18	cc
18	podporuje	VERB	9	conj
19	argumenty	NOUN	18	obj
20	i	CCONJ	21	cc
21	postup	NOUN	19	conj
22	,	PUNCT	26	punct
23	který	DET	26	obj
24	Děti	NOUN	26	nsubj
25	Země	NOUN	24	nmod
26	zvolily	VERB	21	acl:relcl
27	.	PUNCT	9	punct