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:
you have brought someone else into his territory, and he needs to be reminded that you still love him, and support his claim to his space.
Postion	Tokenization
1	you
2	have
3	brought
4	someone
5	else
6	into
7	his
8	territory
9	,
10	and
11	he
12	needs
13	to
14	be
15	reminded
16	that
17	you
18	still
19	love
20	him
21	,
22	and
23	support
24	his
25	claim
26	to
27	his
28	space
29	.
Position	Tokenization	UPOS	Head	Deprel
1	you	PRON	3	nsubj
2	have	AUX	3	aux
3	brought	VERB	0	root
4	someone	PRON	3	obj
5	else	ADJ	4	amod
6	into	ADP	8	case
7	his	PRON	8	nmod:poss
8	territory	NOUN	3	obl
9	,	PUNCT	12	punct
10	and	CCONJ	12	cc
11	he	PRON	12	nsubj
12	needs	VERB	3	conj
13	to	PART	15	mark
14	be	AUX	15	aux:pass
15	reminded	VERB	12	xcomp
16	that	SCONJ	19	mark
17	you	PRON	19	nsubj
18	still	ADV	19	advmod
19	love	VERB	15	ccomp
20	him	PRON	19	obj
21	,	PUNCT	23	punct
22	and	CCONJ	23	cc
23	support	VERB	19	conj
24	his	PRON	25	nmod:poss
25	claim	NOUN	23	obj
26	to	ADP	28	case
27	his	PRON	28	nmod:poss
28	space	NOUN	25	nmod
29	.	PUNCT	3	punct