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 es que no se hizo un lío con las cartulinas y sabía de verdad lo que votaba, conviene que le mantengan bien conservado en su postura civilizadamente rebelde.
Postion	Tokenization
1	Si
2	es
3	que
4	no
5	se
6	hizo
7	un
8	lío
9	con
10	las
11	cartulinas
12	y
13	sabía
14	de
15	verdad
16	lo
17	que
18	votaba
19	,
20	conviene
21	que
22	le
23	mantengan
24	bien
25	conservado
26	en
27	su
28	postura
29	civilizadamente
30	rebelde
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Si	SCONJ	2	mark
2	es	AUX	20	advcl
3	que	SCONJ	6	mark
4	no	ADV	6	advmod
5	se	PRON	6	expl:pass
6	hizo	VERB	2	csubj
7	un	DET	8	det
8	lío	NOUN	6	obj
9	con	ADP	11	case
10	las	DET	11	det
11	cartulinas	NOUN	8	nmod
12	y	CCONJ	13	cc
13	sabía	VERB	2	conj
14	de	ADP	13	advmod
15	verdad	NOUN	14	fixed
16	lo	PRON	18	det
17	que	PRON	18	obj
18	votaba	VERB	13	ccomp
19	,	PUNCT	2	punct
20	conviene	VERB	0	root
21	que	SCONJ	23	mark
22	le	PRON	23	iobj
23	mantengan	VERB	20	csubj
24	bien	ADV	25	advmod
25	conservado	VERB	23	ccomp
26	en	ADP	28	case
27	su	DET	28	det
28	postura	NOUN	25	obl
29	civilizadamente	ADV	30	advmod
30	rebelde	ADJ	28	amod
31	.	PUNCT	20	punct