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:
Hlavním argumentem pro SDI byla v oněch dobách skutečnost, že nákladný projekt jedné strany nutil i druhou k podobným investicím, čímž ji přibližoval k očekávanému hospodářskému kolapsu.
Postion	Tokenization
1	Hlavním
2	argumentem
3	pro
4	SDI
5	byla
6	v
7	oněch
8	dobách
9	skutečnost
10	,
11	že
12	nákladný
13	projekt
14	jedné
15	strany
16	nutil
17	i
18	druhou
19	k
20	podobným
21	investicím
22	,
23	čímž
24	ji
25	přibližoval
26	k
27	očekávanému
28	hospodářskému
29	kolapsu
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Hlavním	ADJ	2	amod
2	argumentem	NOUN	0	root
3	pro	ADP	4	case
4	SDI	NOUN	2	nmod
5	byla	AUX	2	cop
6	v	ADP	8	case
7	oněch	DET	8	det
8	dobách	NOUN	2	obl
9	skutečnost	NOUN	2	nsubj
10	,	PUNCT	16	punct
11	že	SCONJ	16	mark
12	nákladný	ADJ	13	amod
13	projekt	NOUN	16	nsubj
14	jedné	NUM	15	nummod
15	strany	NOUN	13	nmod
16	nutil	VERB	9	acl
17	i	CCONJ	18	advmod:emph
18	druhou	ADJ	16	dep
19	k	ADP	21	case
20	podobným	ADJ	21	amod
21	investicím	NOUN	16	obl:arg
22	,	PUNCT	25	punct
23	čímž	PRON	25	obl
24	ji	PRON	25	obj
25	přibližoval	VERB	16	conj
26	k	ADP	29	case
27	očekávanému	ADJ	29	amod
28	hospodářskému	ADJ	29	amod
29	kolapsu	NOUN	25	obl
30	.	PUNCT	2	punct