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, in turn, has discouraged international investment in Israel and has made it less likely that immigrants to the country will actually remain there.
Postion	Tokenization
1	This
2	,
3	in
4	turn
5	,
6	has
7	discouraged
8	international
9	investment
10	in
11	Israel
12	and
13	has
14	made
15	it
16	less
17	likely
18	that
19	immigrants
20	to
21	the
22	country
23	will
24	actually
25	remain
26	there
27	.
Position	Tokenization	UPOS	Head	Deprel
1	This	PRON	7	nsubj
2	,	PUNCT	7	punct
3	in	ADP	4	case
4	turn	NOUN	7	obl
5	,	PUNCT	7	punct
6	has	AUX	7	aux
7	discouraged	VERB	0	root
8	international	ADJ	9	amod
9	investment	NOUN	7	obj
10	in	ADP	11	case
11	Israel	PROPN	9	nmod
12	and	CCONJ	14	cc
13	has	AUX	14	aux
14	made	VERB	7	conj
15	it	PRON	14	expl
16	less	ADV	17	advmod
17	likely	ADJ	14	xcomp
18	that	SCONJ	25	mark
19	immigrants	NOUN	25	nsubj
20	to	ADP	22	case
21	the	DET	22	det
22	country	NOUN	19	nmod
23	will	AUX	25	aux
24	actually	ADV	25	advmod
25	remain	VERB	14	ccomp
26	there	ADV	25	advmod
27	.	PUNCT	7	punct