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:
These 22 countries, with all their oil and natural resources, have a combined GDP smaller than that of Netherlands plus Belgium and equal to half of the GDP of California alone.
Postion	Tokenization
1	These
2	22
3	countries
4	,
5	with
6	all
7	their
8	oil
9	and
10	natural
11	resources
12	,
13	have
14	a
15	combined
16	GDP
17	smaller
18	than
19	that
20	of
21	Netherlands
22	plus
23	Belgium
24	and
25	equal
26	to
27	half
28	of
29	the
30	GDP
31	of
32	California
33	alone
34	.
Position	Tokenization	UPOS	Head	Deprel
1	These	DET	3	det
2	22	NUM	3	nummod
3	countries	NOUN	13	nsubj
4	,	PUNCT	3	punct
5	with	ADP	8	case
6	all	DET	8	det:predet
7	their	PRON	8	nmod:poss
8	oil	NOUN	3	nmod
9	and	CCONJ	11	cc
10	natural	ADJ	11	amod
11	resources	NOUN	8	conj
12	,	PUNCT	8	punct
13	have	VERB	0	root
14	a	DET	16	det
15	combined	VERB	16	amod
16	GDP	PROPN	13	obj
17	smaller	ADJ	16	amod
18	than	ADP	19	case
19	that	PRON	17	obl
20	of	ADP	21	case
21	Netherlands	PROPN	19	nmod
22	plus	CCONJ	23	cc
23	Belgium	PROPN	21	conj
24	and	CCONJ	25	cc
25	equal	ADJ	17	conj
26	to	ADP	27	case
27	half	NOUN	25	obl
28	of	ADP	30	case
29	the	DET	30	det
30	GDP	PROPN	27	nmod
31	of	ADP	32	case
32	California	PROPN	30	nmod
33	alone	ADV	32	advmod
34	.	PUNCT	13	punct