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:
Criticó el "salvajismo político" utilizado por su principal rival en la carrera presidencial, su antiguo amigo y ex gobernador de Zulia Francisco Arias Cárdenas, en la pasada campaña electoral.
Postion	Tokenization
1	Criticó
2	el
3	"
4	salvajismo
5	político
6	"
7	utilizado
8	por
9	su
10	principal
11	rival
12	en
13	la
14	carrera
15	presidencial
16	,
17	su
18	antiguo
19	amigo
20	y
21	ex
22	gobernador
23	de
24	Zulia
25	Francisco
26	Arias
27	Cárdenas
28	,
29	en
30	la
31	pasada
32	campaña
33	electoral
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Criticó	VERB	0	root
2	el	DET	4	det
3	"	PUNCT	4	punct
4	salvajismo	NOUN	1	obj
5	político	ADJ	4	amod
6	"	PUNCT	4	punct
7	utilizado	ADJ	4	amod
8	por	ADP	11	case
9	su	DET	11	det
10	principal	ADJ	11	amod
11	rival	NOUN	7	obj
12	en	ADP	14	case
13	la	DET	14	det
14	carrera	NOUN	11	nmod
15	presidencial	ADJ	14	amod
16	,	PUNCT	19	punct
17	su	DET	19	det
18	antiguo	ADJ	19	amod
19	amigo	NOUN	11	appos
20	y	CCONJ	22	cc
21	ex	ADJ	22	amod
22	gobernador	NOUN	19	conj
23	de	ADP	24	case
24	Zulia	PROPN	22	nmod
25	Francisco	PROPN	19	appos
26	Arias	PROPN	25	flat
27	Cárdenas	PROPN	25	flat
28	,	PUNCT	19	punct
29	en	ADP	32	case
30	la	DET	32	det
31	pasada	ADJ	32	amod
32	campaña	NOUN	7	obl
33	electoral	ADJ	32	amod
34	.	PUNCT	1	punct