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:
Se le ocurrió que su saliva se mezclaba así con la de Rafael, con la huella ahora seca de sus labios, y tal pensamiento le provocó una sofoquina y un mareo como de dentro, como en las tripas.
Postion	Tokenization
1	Se
2	le
3	ocurrió
4	que
5	su
6	saliva
7	se
8	mezclaba
9	así
10	con
11	la
12	de
13	Rafael
14	,
15	con
16	la
17	huella
18	ahora
19	seca
20	de
21	sus
22	labios
23	,
24	y
25	tal
26	pensamiento
27	le
28	provocó
29	una
30	sofoquina
31	y
32	un
33	mareo
34	como
35	de
36	dentro
37	,
38	como
39	en
40	las
41	tripas
42	.
Position	Tokenization	UPOS	Head	Deprel
1	Se	PRON	3	expl:pv
2	le	PRON	3	obj
3	ocurrió	VERB	0	root
4	que	SCONJ	8	mark
5	su	DET	6	det
6	saliva	NOUN	8	nsubj
7	se	PRON	8	expl:pv
8	mezclaba	VERB	3	csubj
9	así	ADV	8	advmod
10	con	ADP	11	case
11	la	DET	8	det
12	de	ADP	11	case
13	Rafael	PROPN	11	obl
14	,	PUNCT	17	punct
15	con	ADP	17	case
16	la	DET	17	det
17	huella	NOUN	8	obl
18	ahora	ADV	19	advmod
19	seca	ADJ	17	amod
20	de	ADP	22	case
21	sus	DET	22	det
22	labios	NOUN	17	nmod
23	,	PUNCT	17	punct
24	y	CCONJ	28	cc
25	tal	DET	26	det
26	pensamiento	NOUN	28	nsubj
27	le	PRON	28	obj
28	provocó	VERB	3	conj
29	una	DET	30	det
30	sofoquina	NOUN	28	obj
31	y	CCONJ	33	cc
32	un	DET	33	det
33	mareo	NOUN	30	conj
34	como	ADP	36	case
35	de	ADP	36	case
36	dentro	ADV	30	advmod
37	,	PUNCT	41	punct
38	como	ADP	41	case
39	en	ADP	41	case
40	las	DET	41	det
41	tripas	NOUN	30	nmod
42	.	PUNCT	3	punct