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:
Cierto es que las grandes obras literarias de humor tienen siempre algo de desconcertante, de equívoco, que propicia su desvirtuamiento en uno u otro sentido.
Postion	Tokenization
1	Cierto
2	es
3	que
4	las
5	grandes
6	obras
7	literarias
8	de
9	humor
10	tienen
11	siempre
12	algo
13	de
14	desconcertante
15	,
16	de
17	equívoco
18	,
19	que
20	propicia
21	su
22	desvirtuamiento
23	en
24	uno
25	u
26	otro
27	sentido
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Cierto	ADJ	0	root
2	es	AUX	1	cop
3	que	SCONJ	10	mark
4	las	DET	6	det
5	grandes	ADJ	6	amod
6	obras	NOUN	10	nsubj
7	literarias	ADJ	6	amod
8	de	ADP	9	case
9	humor	NOUN	6	nmod
10	tienen	VERB	1	csubj
11	siempre	ADV	10	advmod
12	algo	PRON	10	obj
13	de	ADP	14	case
14	desconcertante	ADJ	12	amod
15	,	PUNCT	17	punct
16	de	ADP	17	case
17	equívoco	ADJ	14	conj
18	,	PUNCT	20	punct
19	que	PRON	20	nsubj
20	propicia	VERB	12	acl
21	su	DET	22	det
22	desvirtuamiento	NOUN	20	obj
23	en	ADP	27	case
24	uno	DET	27	det
25	u	CCONJ	26	cc
26	otro	PRON	24	conj
27	sentido	NOUN	20	obl
28	.	PUNCT	1	punct