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:
The ACIA found Arctic winter temperatures have increased 4 degrees to 7 degrees Fahrenheit in the last 50 years and should go up about twice that much in the next 100 years.
Postion	Tokenization
1	The
2	ACIA
3	found
4	Arctic
5	winter
6	temperatures
7	have
8	increased
9	4
10	degrees
11	to
12	7
13	degrees
14	Fahrenheit
15	in
16	the
17	last
18	50
19	years
20	and
21	should
22	go
23	up
24	about
25	twice
26	that
27	much
28	in
29	the
30	next
31	100
32	years
33	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	ACIA	PROPN	3	nsubj
3	found	VERB	0	root
4	Arctic	ADJ	6	amod
5	winter	NOUN	6	compound
6	temperatures	NOUN	8	nsubj
7	have	AUX	8	aux
8	increased	VERB	3	ccomp
9	4	NUM	10	nummod
10	degrees	NOUN	8	obl:npmod
11	to	ADP	13	case
12	7	NUM	13	nummod
13	degrees	NOUN	8	obl
14	Fahrenheit	PROPN	13	compound
15	in	ADP	19	case
16	the	DET	19	det
17	last	ADJ	19	amod
18	50	NUM	19	nummod
19	years	NOUN	8	obl
20	and	CCONJ	22	cc
21	should	AUX	22	aux
22	go	VERB	8	conj
23	up	ADV	22	advmod
24	about	ADV	27	advmod
25	twice	ADV	27	advmod
26	that	ADV	27	advmod
27	much	ADV	22	advmod
28	in	ADP	32	case
29	the	DET	32	det
30	next	ADJ	32	amod
31	100	NUM	32	nummod
32	years	NOUN	22	obl
33	.	PUNCT	3	punct