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:
Los demócratas tendrán el Sábado primarias en Arizona y un "caucus" en Michigan, mientras que durante todo el fin de semana habrá asambleas de pueblo en Minnesota.
Postion	Tokenization
1	Los
2	demócratas
3	tendrán
4	el
5	Sábado
6	primarias
7	en
8	Arizona
9	y
10	un
11	"
12	caucus
13	"
14	en
15	Michigan
16	,
17	mientras
18	que
19	durante
20	todo
21	el
22	fin
23	de
24	semana
25	habrá
26	asambleas
27	de
28	pueblo
29	en
30	Minnesota
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	demócratas	NOUN	3	nsubj
3	tendrán	VERB	17	parataxis
4	el	DET	5	det
5	Sábado	NOUN	3	obl
6	primarias	ADJ	3	obj
7	en	ADP	8	case
8	Arizona	PROPN	6	nmod
9	y	CCONJ	12	cc
10	un	DET	12	det
11	"	PUNCT	12	punct
12	caucus	NOUN	6	conj
13	"	PUNCT	12	punct
14	en	ADP	15	case
15	Michigan	PROPN	12	nmod
16	,	PUNCT	17	punct
17	mientras	CCONJ	0	root
18	que	SCONJ	17	fixed
19	durante	ADP	22	case
20	todo	DET	21	det
21	el	DET	22	det
22	fin	NOUN	25	obl
23	de	ADP	24	case
24	semana	NOUN	22	nmod
25	habrá	AUX	17	parataxis
26	asambleas	NOUN	25	obj
27	de	ADP	28	case
28	pueblo	NOUN	26	nmod
29	en	ADP	30	case
30	Minnesota	PROPN	26	nmod
31	.	PUNCT	17	punct