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:
People have been fleeing this country at roughly a plane load per week for the past 20+ years, so it's not anything new.
Postion	Tokenization
1	People
2	have
3	been
4	fleeing
5	this
6	country
7	at
8	roughly
9	a
10	plane
11	load
12	per
13	week
14	for
15	the
16	past
17	20
18	+
19	years
20	,
21	so
22	it's
23	it
24	's
25	not
26	anything
27	new
28	.
Position	Tokenization	UPOS	Head	Deprel
1	People	NOUN	4	nsubj
2	have	AUX	4	aux
3	been	AUX	4	aux
4	fleeing	VERB	0	root
5	this	DET	6	det
6	country	NOUN	4	obj
7	at	ADP	11	case
8	roughly	ADV	11	advmod
9	a	DET	11	det
10	plane	NOUN	11	compound
11	load	NOUN	4	obl
12	per	ADP	13	case
13	week	NOUN	11	nmod
14	for	ADP	19	case
15	the	DET	19	det
16	past	ADJ	19	amod
17	20	NUM	19	nummod
18	+	SYM	17	advmod
19	years	NOUN	4	obl
20	,	PUNCT	25	punct
21	so	ADV	25	cc
22	it's	_	None	_
23	it	PRON	25	nsubj
24	's	AUX	25	cop
25	not	PART	25	advmod
26	anything	PRON	4	conj
27	new	ADJ	25	amod
28	.	PUNCT	4	punct