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 thought that I had gained my cockatiel's trust, but now he's not coming to me when I open his cage.
Postion	Tokenization
1	I
2	thought
3	that
4	I
5	had
6	gained
7	my
8	cockatiel's
9	cockatiel
10	's
11	trust
12	,
13	but
14	now
15	he's
16	he
17	's
18	not
19	coming
20	to
21	me
22	when
23	I
24	open
25	his
26	cage
27	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	thought	VERB	0	root
3	that	SCONJ	6	mark
4	I	PRON	6	nsubj
5	had	AUX	6	aux
6	gained	VERB	2	ccomp
7	my	PRON	8	nmod:poss
8	cockatiel's	_	None	_
9	cockatiel	NOUN	10	nmod:poss
10	's	PART	8	case
11	trust	NOUN	6	obj
12	,	PUNCT	17	punct
13	but	CCONJ	17	cc
14	now	ADV	17	advmod
15	he's	_	None	_
16	he	PRON	17	nsubj
17	's	AUX	17	aux
18	not	PART	17	advmod
19	coming	VERB	2	conj
20	to	ADP	19	case
21	me	PRON	17	obl
22	when	SCONJ	22	mark
23	I	PRON	22	nsubj
24	open	VERB	17	advcl
25	his	PRON	24	nmod:poss
26	cage	NOUN	22	obj
27	.	PUNCT	2	punct