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:
When I finally found someone at the desk who could speak English, they moved our room, but we still did not receive the single queen we had "reserved"
Postion	Tokenization
1	When
2	I
3	finally
4	found
5	someone
6	at
7	the
8	desk
9	who
10	could
11	speak
12	English
13	,
14	they
15	moved
16	our
17	room
18	,
19	but
20	we
21	still
22	did
23	not
24	receive
25	the
26	single
27	queen
28	we
29	had
30	"
31	reserved
32	"
Position	Tokenization	UPOS	Head	Deprel
1	When	SCONJ	4	mark
2	I	PRON	4	nsubj
3	finally	ADV	4	advmod
4	found	VERB	15	advcl
5	someone	PRON	4	obj
6	at	ADP	8	case
7	the	DET	8	det
8	desk	NOUN	5	nmod
9	who	PRON	11	nsubj
10	could	AUX	11	aux
11	speak	VERB	5	acl:relcl
12	English	PROPN	11	obj
13	,	PUNCT	15	punct
14	they	PRON	15	nsubj
15	moved	VERB	0	root
16	our	PRON	17	nmod:poss
17	room	NOUN	15	obj
18	,	PUNCT	24	punct
19	but	CCONJ	24	cc
20	we	PRON	24	nsubj
21	still	ADV	24	advmod
22	did	AUX	24	aux
23	not	PART	24	advmod
24	receive	VERB	15	conj
25	the	DET	27	det
26	single	ADJ	27	amod
27	queen	NOUN	24	obj
28	we	PRON	31	nsubj
29	had	AUX	31	aux
30	"	PUNCT	31	punct
31	reserved	VERB	27	acl:relcl
32	"	PUNCT	31	punct