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:
Si el streaking de cintura para arriba es objeto de amonestación, ¿Qué ocurrirá cuando los actos vergonzantes se desplacen más abajo?.
Postion	Tokenization
1	Si
2	el
3	streaking
4	de
5	cintura
6	para
7	arriba
8	es
9	objeto
10	de
11	amonestación
12	,
13	¿
14	Qué
15	ocurrirá
16	cuando
17	los
18	actos
19	vergonzantes
20	se
21	desplacen
22	más
23	abajo
24	?
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Si	SCONJ	9	mark
2	el	DET	3	det
3	streaking	NOUN	9	nsubj
4	de	ADP	5	case
5	cintura	NOUN	3	nmod
6	para	ADP	7	case
7	arriba	ADV	5	advmod
8	es	AUX	9	cop
9	objeto	NOUN	15	advcl
10	de	ADP	11	case
11	amonestación	NOUN	9	nmod
12	,	PUNCT	9	punct
13	¿	PUNCT	15	punct
14	Qué	PRON	15	nsubj
15	ocurrirá	VERB	0	root
16	cuando	SCONJ	21	mark
17	los	DET	18	det
18	actos	NOUN	21	nsubj
19	vergonzantes	ADJ	18	amod
20	se	PRON	21	expl:pv
21	desplacen	VERB	15	advcl
22	más	ADV	23	advmod
23	abajo	ADV	21	advmod
24	?	PUNCT	15	punct
25	.	PUNCT	15	punct