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:
This applies especially in the high Arctic where the ice cover is expected to diminish substantially with the effect that the surface absorption of solar radiation will greatly increase."
Postion	Tokenization
1	This
2	applies
3	especially
4	in
5	the
6	high
7	Arctic
8	where
9	the
10	ice
11	cover
12	is
13	expected
14	to
15	diminish
16	substantially
17	with
18	the
19	effect
20	that
21	the
22	surface
23	absorption
24	of
25	solar
26	radiation
27	will
28	greatly
29	increase
30	.
31	"
Position	Tokenization	UPOS	Head	Deprel
1	This	PRON	2	nsubj
2	applies	VERB	0	root
3	especially	ADV	2	advmod
4	in	ADP	7	case
5	the	DET	7	det
6	high	ADJ	7	amod
7	Arctic	PROPN	2	obl
8	where	SCONJ	13	mark
9	the	DET	11	det
10	ice	NOUN	11	compound
11	cover	NOUN	13	nsubj:pass
12	is	AUX	13	aux:pass
13	expected	VERB	7	acl:relcl
14	to	PART	15	mark
15	diminish	VERB	13	xcomp
16	substantially	ADV	15	advmod
17	with	ADP	19	case
18	the	DET	19	det
19	effect	NOUN	15	obl
20	that	SCONJ	29	mark
21	the	DET	23	det
22	surface	NOUN	23	compound
23	absorption	NOUN	29	nsubj
24	of	ADP	26	case
25	solar	ADJ	26	amod
26	radiation	NOUN	23	nmod
27	will	AUX	29	aux
28	greatly	ADV	29	advmod
29	increase	VERB	19	acl
30	.	PUNCT	2	punct
31	"	PUNCT	2	punct