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:
V důsledku silné uprchlické vlny posledních let a přílivu přistěhovalců německého původu z východní Evropy však byl v zemi poprvé v roce 1991 překročen počet 80 miliónů obyvatel.
Postion	Tokenization
1	V
2	důsledku
3	silné
4	uprchlické
5	vlny
6	posledních
7	let
8	a
9	přílivu
10	přistěhovalců
11	německého
12	původu
13	z
14	východní
15	Evropy
16	však
17	byl
18	v
19	zemi
20	poprvé
21	v
22	roce
23	1991
24	překročen
25	počet
26	80
27	miliónů
28	obyvatel
29	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	5	case
2	důsledku	NOUN	1	fixed
3	silné	ADJ	5	amod
4	uprchlické	ADJ	5	amod
5	vlny	NOUN	24	obl
6	posledních	ADJ	7	amod
7	let	NOUN	5	nmod
8	a	CCONJ	9	cc
9	přílivu	NOUN	5	conj
10	přistěhovalců	NOUN	9	nmod
11	německého	ADJ	12	amod
12	původu	NOUN	10	nmod
13	z	ADP	15	case
14	východní	ADJ	15	amod
15	Evropy	PROPN	10	nmod
16	však	CCONJ	24	cc
17	byl	AUX	24	aux:pass
18	v	ADP	19	case
19	zemi	NOUN	24	obl
20	poprvé	ADV	24	obl
21	v	ADP	22	case
22	roce	NOUN	20	obl
23	1991	NUM	22	nummod
24	překročen	ADJ	0	root
25	počet	NOUN	24	nsubj:pass
26	80	NUM	27	nummod:gov
27	miliónů	NOUN	25	nmod
28	obyvatel	NOUN	27	nmod
29	.	PUNCT	24	punct