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:
Pero Cárdenas, candidato del PRD, ha reiterado esta semana que no hará ninguna alianza con Fox, con quien ha intercambiado frases duras en los últimos días.
Postion	Tokenization
1	Pero
2	Cárdenas
3	,
4	candidato
5	del
6	PRD
7	,
8	ha
9	reiterado
10	esta
11	semana
12	que
13	no
14	hará
15	ninguna
16	alianza
17	con
18	Fox
19	,
20	con
21	quien
22	ha
23	intercambiado
24	frases
25	duras
26	en
27	los
28	últimos
29	días
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Pero	CCONJ	9	advmod
2	Cárdenas	PROPN	9	nsubj
3	,	PUNCT	4	punct
4	candidato	NOUN	2	appos
5	del	ADP	6	case
6	PRD	PROPN	4	nmod
7	,	PUNCT	4	punct
8	ha	AUX	9	aux
9	reiterado	VERB	0	root
10	esta	DET	11	det
11	semana	NOUN	9	obl
12	que	SCONJ	14	mark
13	no	ADV	14	advmod
14	hará	VERB	9	ccomp
15	ninguna	DET	16	det
16	alianza	NOUN	14	obj
17	con	ADP	18	case
18	Fox	PROPN	14	obl
19	,	PUNCT	23	punct
20	con	ADP	21	case
21	quien	PRON	23	obl
22	ha	AUX	23	aux
23	intercambiado	VERB	18	acl
24	frases	NOUN	23	obj
25	duras	ADJ	24	amod
26	en	ADP	29	case
27	los	DET	29	det
28	últimos	ADJ	29	amod
29	días	NOUN	23	obl
30	.	PUNCT	9	punct