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:
territory is very important to cats, and they are very nervous when they go into a new place - a new house could be full of predators, or unknown menaces - well at least he thinks so.
Postion	Tokenization
1	territory
2	is
3	very
4	important
5	to
6	cats
7	,
8	and
9	they
10	are
11	very
12	nervous
13	when
14	they
15	go
16	into
17	a
18	new
19	place
20	-
21	a
22	new
23	house
24	could
25	be
26	full
27	of
28	predators
29	,
30	or
31	unknown
32	menaces
33	-
34	well
35	at
36	least
37	he
38	thinks
39	so
40	.
Position	Tokenization	UPOS	Head	Deprel
1	territory	NOUN	4	nsubj
2	is	AUX	4	cop
3	very	ADV	4	advmod
4	important	ADJ	0	root
5	to	ADP	6	case
6	cats	NOUN	4	obl
7	,	PUNCT	12	punct
8	and	CCONJ	12	cc
9	they	PRON	12	nsubj
10	are	AUX	12	cop
11	very	ADV	12	advmod
12	nervous	ADJ	4	conj
13	when	SCONJ	15	mark
14	they	PRON	15	nsubj
15	go	VERB	12	advcl
16	into	ADP	19	case
17	a	DET	19	det
18	new	ADJ	19	amod
19	place	NOUN	15	obl
20	-	PUNCT	4	punct
21	a	DET	23	det
22	new	ADJ	23	amod
23	house	NOUN	26	nsubj
24	could	AUX	26	aux
25	be	AUX	26	cop
26	full	ADJ	4	parataxis
27	of	ADP	28	case
28	predators	NOUN	26	obl
29	,	PUNCT	32	punct
30	or	CCONJ	32	cc
31	unknown	ADJ	32	amod
32	menaces	NOUN	28	conj
33	-	PUNCT	4	punct
34	well	INTJ	38	discourse
35	at	ADV	38	advmod
36	least	ADV	35	fixed
37	he	PRON	38	nsubj
38	thinks	VERB	26	parataxis
39	so	ADV	38	advmod
40	.	PUNCT	4	punct