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:
Martin Malia subraya que el comunismo tuvo una doble cara como Janus: para unos de triunfo y bondad, mientras que para otros fue de derrota y terror.
Postion	Tokenization
1	Martin
2	Malia
3	subraya
4	que
5	el
6	comunismo
7	tuvo
8	una
9	doble
10	cara
11	como
12	Janus
13	:
14	para
15	unos
16	de
17	triunfo
18	y
19	bondad
20	,
21	mientras
22	que
23	para
24	otros
25	fue
26	de
27	derrota
28	y
29	terror
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Martin	PROPN	3	nsubj
2	Malia	PROPN	1	flat
3	subraya	VERB	0	root
4	que	SCONJ	7	mark
5	el	DET	6	det
6	comunismo	NOUN	7	nsubj
7	tuvo	VERB	3	ccomp
8	una	DET	10	det
9	doble	ADJ	10	amod
10	cara	NOUN	7	obj
11	como	SCONJ	12	mark
12	Janus	PROPN	7	obl
13	:	PUNCT	7	punct
14	para	ADP	15	case
15	unos	PRON	7	obl
16	de	ADP	17	case
17	triunfo	NOUN	15	nmod
18	y	CCONJ	19	cc
19	bondad	NOUN	17	conj
20	,	PUNCT	27	punct
21	mientras	CCONJ	27	cc
22	que	SCONJ	21	fixed
23	para	ADP	24	case
24	otros	PRON	27	obl
25	fue	AUX	27	cop
26	de	ADP	27	case
27	derrota	NOUN	15	conj
28	y	CCONJ	29	cc
29	terror	NOUN	27	conj
30	.	PUNCT	3	punct