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:
Quizás la canícula no invitó a que los adultos despidieran a los muertos, lo cual debió divertir mucho a Gassman, que frecuentaba a los jóvenes a los que miraba con curiosidad y nostalgia.
Postion	Tokenization
1	Quizás
2	la
3	canícula
4	no
5	invitó
6	a
7	que
8	los
9	adultos
10	despidieran
11	a
12	los
13	muertos
14	,
15	lo
16	cual
17	debió
18	divertir
19	mucho
20	a
21	Gassman
22	,
23	que
24	frecuentaba
25	a
26	los
27	jóvenes
28	a
29	los
30	que
31	miraba
32	con
33	curiosidad
34	y
35	nostalgia
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Quizás	ADV	5	advmod
2	la	DET	3	det
3	canícula	NOUN	5	nsubj
4	no	ADV	5	advmod
5	invitó	VERB	0	root
6	a	ADP	10	mark
7	que	SCONJ	10	mark
8	los	DET	9	det
9	adultos	NOUN	10	nsubj
10	despidieran	VERB	5	ccomp
11	a	ADP	13	case
12	los	DET	13	det
13	muertos	NOUN	10	obj
14	,	PUNCT	18	punct
15	lo	PRON	18	det
16	cual	PRON	18	nsubj
17	debió	AUX	18	aux
18	divertir	VERB	5	advcl
19	mucho	ADV	18	advmod
20	a	ADP	21	case
21	Gassman	PROPN	18	obj
22	,	PUNCT	24	punct
23	que	PRON	24	nsubj
24	frecuentaba	VERB	21	acl
25	a	ADP	27	case
26	los	DET	27	det
27	jóvenes	NOUN	24	obj
28	a	ADP	30	case
29	los	DET	30	det
30	que	PRON	31	obj
31	miraba	VERB	27	acl
32	con	ADP	33	case
33	curiosidad	NOUN	31	obl
34	y	CCONJ	35	cc
35	nostalgia	NOUN	33	conj
36	.	PUNCT	5	punct