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:
Quiero pensar, y deseo, que en realidad no es así, y que estos monitores son verdaderos profesionales.
Postion	Tokenization
1	Quiero
2	pensar
3	,
4	y
5	deseo
6	,
7	que
8	en
9	realidad
10	no
11	es
12	así
13	,
14	y
15	que
16	estos
17	monitores
18	son
19	verdaderos
20	profesionales
21	.
Position	Tokenization	UPOS	Head	Deprel
1	Quiero	VERB	0	root
2	pensar	VERB	1	xcomp
3	,	PUNCT	5	punct
4	y	CCONJ	5	advmod
5	deseo	VERB	1	conj
6	,	PUNCT	12	punct
7	que	SCONJ	12	mark
8	en	ADP	12	advmod
9	realidad	NOUN	8	fixed
10	no	ADV	12	advmod
11	es	AUX	12	cop
12	así	ADV	5	ccomp
13	,	PUNCT	20	punct
14	y	CCONJ	20	cc
15	que	SCONJ	20	mark
16	estos	DET	17	det
17	monitores	NOUN	20	nsubj
18	son	AUX	20	cop
19	verdaderos	ADJ	20	amod
20	profesionales	NOUN	12	conj
21	.	PUNCT	1	punct