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:
"He frecuentado el Liceu desde que era muy pequeño, y siempre pensé que me gustaría actuar allí.
Postion	Tokenization
1	"
2	He
3	frecuentado
4	el
5	Liceu
6	desde
7	que
8	era
9	muy
10	pequeño
11	,
12	y
13	siempre
14	pensé
15	que
16	me
17	gustaría
18	actuar
19	allí
20	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	3	punct
2	He	AUX	3	aux
3	frecuentado	VERB	0	root
4	el	DET	5	det
5	Liceu	PROPN	3	obl
6	desde	ADP	10	mark
7	que	SCONJ	10	mark
8	era	AUX	10	cop
9	muy	ADV	10	advmod
10	pequeño	ADJ	3	advcl
11	,	PUNCT	14	punct
12	y	CCONJ	14	cc
13	siempre	ADV	14	advmod
14	pensé	VERB	3	conj
15	que	SCONJ	17	mark
16	me	PRON	17	iobj
17	gustaría	VERB	14	ccomp
18	actuar	VERB	17	csubj
19	allí	ADV	18	advmod
20	.	PUNCT	3	punct