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:
Arctic summer sea ice will decline by 50 percent by the end of the 21st century, the assessment found, with some models predicting complete disappearance of summer sea ice.
Postion	Tokenization
1	Arctic
2	summer
3	sea
4	ice
5	will
6	decline
7	by
8	50
9	percent
10	by
11	the
12	end
13	of
14	the
15	21st
16	century
17	,
18	the
19	assessment
20	found
21	,
22	with
23	some
24	models
25	predicting
26	complete
27	disappearance
28	of
29	summer
30	sea
31	ice
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Arctic	ADJ	4	amod
2	summer	NOUN	4	compound
3	sea	NOUN	4	compound
4	ice	NOUN	6	nsubj
5	will	AUX	6	aux
6	decline	VERB	20	ccomp
7	by	ADP	9	case
8	50	NUM	9	nummod
9	percent	NOUN	6	obl
10	by	ADP	12	case
11	the	DET	12	det
12	end	NOUN	6	obl
13	of	ADP	16	case
14	the	DET	16	det
15	21st	ADJ	16	amod
16	century	NOUN	12	nmod
17	,	PUNCT	20	punct
18	the	DET	19	det
19	assessment	NOUN	20	nsubj
20	found	VERB	0	root
21	,	PUNCT	20	punct
22	with	SCONJ	25	mark
23	some	DET	24	det
24	models	NOUN	25	nsubj
25	predicting	VERB	20	advcl
26	complete	ADJ	27	amod
27	disappearance	NOUN	25	obj
28	of	ADP	31	case
29	summer	NOUN	31	compound
30	sea	NOUN	31	compound
31	ice	NOUN	27	nmod
32	.	PUNCT	20	punct