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:
Největší vzestup přímých zahraničních investic zaznamenala Čína, která se loňským objemem 26 miliard dolarů dostala na druhé místo za USA.
Postion	Tokenization
1	Největší
2	vzestup
3	přímých
4	zahraničních
5	investic
6	zaznamenala
7	Čína
8	,
9	která
10	se
11	loňským
12	objemem
13	26
14	miliard
15	dolarů
16	dostala
17	na
18	druhé
19	místo
20	za
21	USA
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Největší	ADJ	2	amod
2	vzestup	NOUN	6	obj
3	přímých	ADJ	5	amod
4	zahraničních	ADJ	5	amod
5	investic	NOUN	2	nmod
6	zaznamenala	VERB	0	root
7	Čína	PROPN	6	nsubj
8	,	PUNCT	16	punct
9	která	DET	16	nsubj
10	se	PRON	16	expl:pv
11	loňským	ADJ	12	amod
12	objemem	NOUN	16	obl
13	26	NUM	14	nummod:gov
14	miliard	NOUN	12	nmod
15	dolarů	NOUN	14	nmod
16	dostala	VERB	7	acl:relcl
17	na	ADP	19	case
18	druhé	ADJ	19	amod
19	místo	NOUN	16	obl
20	za	ADP	21	case
21	USA	PROPN	19	nmod
22	.	PUNCT	6	punct