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:
Z dalších akcí FOR ECO připomeňme například konferenci Ekologické vzdělávání v současné době, respektive konferenci Ekologicky orientované stavebnictví, nad níž převzalo záštitu Ministerstvo životního prostředí ČR.
Postion	Tokenization
1	Z
2	dalších
3	akcí
4	FOR
5	ECO
6	připomeňme
7	například
8	konferenci
9	Ekologické
10	vzdělávání
11	v
12	současné
13	době
14	,
15	respektive
16	konferenci
17	Ekologicky
18	orientované
19	stavebnictví
20	,
21	nad
22	níž
23	převzalo
24	záštitu
25	Ministerstvo
26	životního
27	prostředí
28	ČR
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Z	ADP	3	case
2	dalších	ADJ	3	amod
3	akcí	NOUN	6	obl
4	FOR	NOUN	5	nmod
5	ECO	PROPN	3	nmod
6	připomeňme	VERB	0	root
7	například	ADV	8	advmod:emph
8	konferenci	NOUN	6	obj
9	Ekologické	ADJ	10	amod
10	vzdělávání	NOUN	8	nmod
11	v	ADP	13	case
12	současné	ADJ	13	amod
13	době	NOUN	10	nmod
14	,	PUNCT	16	punct
15	respektive	ADV	16	cc
16	konferenci	NOUN	8	conj
17	Ekologicky	ADV	18	advmod
18	orientované	ADJ	19	amod
19	stavebnictví	NOUN	16	nmod
20	,	PUNCT	23	punct
21	nad	ADP	22	case
22	níž	PRON	23	obl
23	převzalo	VERB	16	acl:relcl
24	záštitu	NOUN	23	obj
25	Ministerstvo	NOUN	23	nsubj
26	životního	ADJ	27	amod
27	prostředí	NOUN	25	nmod
28	ČR	PROPN	25	nmod
29	.	PUNCT	6	punct