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 text: Avšak evoluce živých organismů na této planetě směřovala v každém okamžiku k následně vyššímu stupni komplexnosti, a na každé nové, složitější úrovni organizace se objevily nové fenomény, procesy a mechanismy, kvalitativně odlišné od předchozích.
Position	Tokenization	UPOS	Head	Deprel
1	Avšak	CCONJ	8	cc
2	evoluce	NOUN	8	nsubj
3	živých	ADJ	4	amod
4	organismů	NOUN	2	nmod
5	na	ADP	7	case
6	této	DET	7	det
7	planetě	NOUN	4	nmod
8	směřovala	VERB	0	root
9	v	ADP	11	case
10	každém	DET	11	det
11	okamžiku	NOUN	8	obl
12	k	ADP	15	case
13	následně	ADV	14	advmod
14	vyššímu	ADJ	15	amod
15	stupni	NOUN	8	obl
16	komplexnosti	NOUN	15	nmod
17	,	PUNCT	27	punct
18	a	CCONJ	27	cc
19	na	ADP	24	case
20	každé	DET	24	det
21	nové	ADJ	24	amod
22	,	PUNCT	23	punct
23	složitější	ADJ	21	conj
24	úrovni	NOUN	27	obl
25	organizace	NOUN	24	nmod
26	se	PRON	27	expl:pv
27	objevily	VERB	8	conj
28	nové	ADJ	29	amod
29	fenomény	NOUN	27	nsubj
30	,	PUNCT	31	punct
31	procesy	NOUN	29	conj
32	a	CCONJ	33	cc
33	mechanismy	NOUN	29	conj
34	,	PUNCT	36	punct
35	kvalitativně	ADV	36	advmod
36	odlišné	ADJ	29	amod
37	od	ADP	38	case
38	předchozích	ADJ	36	dep
39	.	PUNCT	8	punct