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:
Vio cromos de revistas, postales amarillentas de las que se vendían como recuerdo en los portales, y fue como un repaso fantasmal a la falacia de su propia vida.
Postion	Tokenization
1	Vio
2	cromos
3	de
4	revistas
5	,
6	postales
7	amarillentas
8	de
9	las
10	que
11	se
12	vendían
13	como
14	recuerdo
15	en
16	los
17	portales
18	,
19	y
20	fue
21	como
22	un
23	repaso
24	fantasmal
25	a
26	la
27	falacia
28	de
29	su
30	propia
31	vida
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Vio	VERB	0	root
2	cromos	NOUN	1	obj
3	de	ADP	4	case
4	revistas	NOUN	2	nmod
5	,	PUNCT	6	punct
6	postales	NOUN	2	conj
7	amarillentas	ADJ	6	amod
8	de	ADP	10	case
9	las	DET	10	det
10	que	PRON	12	obj
11	se	PRON	12	expl:pass
12	vendían	VERB	6	acl
13	como	SCONJ	14	mark
14	recuerdo	NOUN	12	obl
15	en	ADP	17	case
16	los	DET	17	det
17	portales	NOUN	12	obl
18	,	PUNCT	23	punct
19	y	CCONJ	23	cc
20	fue	AUX	23	cop
21	como	SCONJ	23	mark
22	un	DET	23	det
23	repaso	NOUN	1	conj
24	fantasmal	ADJ	23	amod
25	a	ADP	27	case
26	la	DET	27	det
27	falacia	NOUN	23	nmod
28	de	ADP	31	case
29	su	DET	31	det
30	propia	DET	29	det
31	vida	NOUN	27	nmod
32	.	PUNCT	1	punct