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:
El Partido Republicano celebra mañana, martes, en Michigan y Arizona sus elecciones primarias, abiertas - además de a sus votantes - a los demócratas e independientes registrados.
Postion	Tokenization
1	El
2	Partido
3	Republicano
4	celebra
5	mañana
6	,
7	martes
8	,
9	en
10	Michigan
11	y
12	Arizona
13	sus
14	elecciones
15	primarias
16	,
17	abiertas
18	-
19	además
20	de
21	a
22	sus
23	votantes
24	-
25	a
26	los
27	demócratas
28	e
29	independientes
30	registrados
31	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Partido	PROPN	4	nsubj
3	Republicano	PROPN	2	flat
4	celebra	VERB	0	root
5	mañana	ADV	4	advmod
6	,	PUNCT	7	punct
7	martes	NOUN	5	obl
8	,	PUNCT	7	punct
9	en	ADP	10	case
10	Michigan	PROPN	4	obl
11	y	CCONJ	12	cc
12	Arizona	PROPN	10	conj
13	sus	DET	14	det
14	elecciones	NOUN	4	obj
15	primarias	ADJ	14	amod
16	,	PUNCT	15	punct
17	abiertas	ADJ	15	advmod
18	-	PUNCT	23	punct
19	además	ADV	23	case
20	de	ADP	19	fixed
21	a	ADP	23	case
22	sus	DET	23	det
23	votantes	NOUN	17	obj
24	-	PUNCT	23	punct
25	a	ADP	27	case
26	los	DET	27	det
27	demócratas	NOUN	17	obj
28	e	CCONJ	29	cc
29	independientes	NOUN	27	conj
30	registrados	ADJ	27	amod
31	.	PUNCT	4	punct