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:
I have two cats, and at first they hissed at each other because cats are very territorial, but now they do fight and play.
Postion	Tokenization
1	I
2	have
3	two
4	cats
5	,
6	and
7	at
8	first
9	they
10	hissed
11	at
12	each
13	other
14	because
15	cats
16	are
17	very
18	territorial
19	,
20	but
21	now
22	they
23	do
24	fight
25	and
26	play
27	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	have	VERB	0	root
3	two	NUM	4	nummod
4	cats	NOUN	2	obj
5	,	PUNCT	10	punct
6	and	CCONJ	10	cc
7	at	ADV	8	advmod
8	first	ADV	10	advmod
9	they	PRON	10	nsubj
10	hissed	VERB	2	conj
11	at	ADP	13	case
12	each	DET	13	det
13	other	ADJ	10	obl
14	because	SCONJ	18	mark
15	cats	NOUN	18	nsubj
16	are	AUX	18	cop
17	very	ADV	18	advmod
18	territorial	ADJ	10	advcl
19	,	PUNCT	24	punct
20	but	CCONJ	24	cc
21	now	ADV	24	advmod
22	they	PRON	24	nsubj
23	do	AUX	24	aux
24	fight	VERB	2	conj
25	and	CCONJ	26	cc
26	play	VERB	24	conj
27	.	PUNCT	2	punct