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:
We have had many conversations with them and they have always been extremely patient with me as I tried on multiple hats in search of the right costumes for my magic act.
Postion	Tokenization
1	We
2	have
3	had
4	many
5	conversations
6	with
7	them
8	and
9	they
10	have
11	always
12	been
13	extremely
14	patient
15	with
16	me
17	as
18	I
19	tried
20	on
21	multiple
22	hats
23	in
24	search
25	of
26	the
27	right
28	costumes
29	for
30	my
31	magic
32	act
33	.
Position	Tokenization	UPOS	Head	Deprel
1	We	PRON	3	nsubj
2	have	AUX	3	aux
3	had	VERB	0	root
4	many	ADJ	5	amod
5	conversations	NOUN	3	obj
6	with	ADP	7	case
7	them	PRON	5	nmod
8	and	CCONJ	14	cc
9	they	PRON	14	nsubj
10	have	AUX	14	aux
11	always	ADV	14	advmod
12	been	AUX	14	cop
13	extremely	ADV	14	advmod
14	patient	ADJ	3	conj
15	with	ADP	16	case
16	me	PRON	14	obl
17	as	SCONJ	19	mark
18	I	PRON	19	nsubj
19	tried	VERB	14	advcl
20	on	ADP	19	compound:prt
21	multiple	ADJ	22	amod
22	hats	NOUN	19	obj
23	in	ADP	24	case
24	search	NOUN	19	obl
25	of	ADP	28	case
26	the	DET	28	det
27	right	ADJ	28	amod
28	costumes	NOUN	24	nmod
29	for	ADP	32	case
30	my	PRON	32	nmod:poss
31	magic	NOUN	32	compound
32	act	NOUN	28	nmod
33	.	PUNCT	3	punct