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:
Para Maradona, Argentina está "fuera de control", y los políticos, "primero prometen y después van al Congreso y pelean por estar calculando qué más pueden robar".
Postion	Tokenization
1	Para
2	Maradona
3	,
4	Argentina
5	está
6	"
7	fuera
8	de
9	control
10	"
11	,
12	y
13	los
14	políticos
15	,
16	"
17	primero
18	prometen
19	y
20	después
21	van
22	al
23	Congreso
24	y
25	pelean
26	por
27	estar
28	calculando
29	qué
30	más
31	pueden
32	robar
33	"
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Para	ADP	2	case
2	Maradona	PROPN	7	obl
3	,	PUNCT	2	punct
4	Argentina	PROPN	7	nsubj
5	está	AUX	7	cop
6	"	PUNCT	7	punct
7	fuera	ADV	0	root
8	de	ADP	9	case
9	control	NOUN	7	obl
10	"	PUNCT	7	punct
11	,	PUNCT	18	punct
12	y	CCONJ	18	cc
13	los	DET	14	det
14	políticos	NOUN	18	nsubj
15	,	PUNCT	14	punct
16	"	PUNCT	18	punct
17	primero	ADV	18	advmod
18	prometen	VERB	7	conj
19	y	CCONJ	21	cc
20	después	ADV	21	advmod
21	van	VERB	18	conj
22	al	ADP	23	case
23	Congreso	PROPN	21	obl
24	y	CCONJ	25	cc
25	pelean	VERB	21	conj
26	por	ADP	28	mark
27	estar	AUX	28	aux
28	calculando	VERB	25	xcomp
29	qué	PRON	28	obj
30	más	ADV	29	advmod
31	pueden	AUX	28	aux
32	robar	VERB	28	xcomp
33	"	PUNCT	7	punct
34	.	PUNCT	7	punct