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:
Hace dar vueltas a su cristal y la luz se descompone o se polariza o se desparrama y entonces nada es como la costumbre tediosa a la que estamos acostumbrados.
Postion	Tokenization
1	Hace
2	dar
3	vueltas
4	a
5	su
6	cristal
7	y
8	la
9	luz
10	se
11	descompone
12	o
13	se
14	polariza
15	o
16	se
17	desparrama
18	y
19	entonces
20	nada
21	es
22	como
23	la
24	costumbre
25	tediosa
26	a
27	la
28	que
29	estamos
30	acostumbrados
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Hace	VERB	0	root
2	dar	VERB	1	xcomp
3	vueltas	NOUN	1	obj
4	a	ADP	6	case
5	su	DET	6	det
6	cristal	NOUN	1	obj
7	y	CCONJ	11	cc
8	la	DET	9	det
9	luz	NOUN	11	nsubj
10	se	PRON	11	expl:pv
11	descompone	VERB	2	conj
12	o	CCONJ	14	cc
13	se	PRON	14	expl:pv
14	polariza	VERB	11	conj
15	o	CCONJ	17	cc
16	se	PRON	17	expl:pv
17	desparrama	VERB	11	conj
18	y	CCONJ	24	cc
19	entonces	ADV	24	advmod
20	nada	PRON	24	nsubj
21	es	AUX	24	cop
22	como	SCONJ	24	mark
23	la	DET	24	det
24	costumbre	NOUN	2	conj
25	tediosa	ADJ	24	amod
26	a	ADP	28	case
27	la	DET	28	det
28	que	PRON	29	obj
29	estamos	VERB	24	acl
30	acostumbrados	ADJ	29	obj
31	.	PUNCT	1	punct