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:
he will reassure himself that no other animal is in there, and that no other animal will come in - he is afraid that he is in someone else's territory when he is in a new house.
Postion	Tokenization
1	he
2	will
3	reassure
4	himself
5	that
6	no
7	other
8	animal
9	is
10	in
11	there
12	,
13	and
14	that
15	no
16	other
17	animal
18	will
19	come
20	in
21	-
22	he
23	is
24	afraid
25	that
26	he
27	is
28	in
29	someone
30	else's
31	else
32	's
33	territory
34	when
35	he
36	is
37	in
38	a
39	new
40	house
41	.
Position	Tokenization	UPOS	Head	Deprel
1	he	PRON	3	nsubj
2	will	AUX	3	aux
3	reassure	VERB	0	root
4	himself	PRON	3	obj
5	that	SCONJ	11	mark
6	no	DET	8	det
7	other	ADJ	8	amod
8	animal	NOUN	11	nsubj
9	is	AUX	11	cop
10	in	ADP	11	case
11	there	ADV	3	ccomp
12	,	PUNCT	19	punct
13	and	CCONJ	19	cc
14	that	SCONJ	19	mark
15	no	DET	17	det
16	other	ADJ	17	amod
17	animal	NOUN	19	nsubj
18	will	AUX	19	aux
19	come	VERB	11	conj
20	in	ADV	19	advmod
21	-	PUNCT	3	punct
22	he	PRON	24	nsubj
23	is	AUX	24	cop
24	afraid	ADJ	3	parataxis
25	that	SCONJ	32	mark
26	he	PRON	32	nsubj
27	is	AUX	32	cop
28	in	ADP	32	case
29	someone	PRON	32	nmod:poss
30	else's	_	None	_
31	else	ADJ	29	amod
32	's	PART	29	case
33	territory	NOUN	24	ccomp
34	when	SCONJ	39	mark
35	he	PRON	39	nsubj
36	is	AUX	39	cop
37	in	ADP	39	case
38	a	DET	39	det
39	new	ADJ	39	amod
40	house	NOUN	32	advcl
41	.	PUNCT	3	punct