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:
Rusia "no tiene preferencia" por quién obtenga la victoria en la segunda vuelta en las elecciones, dijo Ivanov.
Postion	Tokenization
1	Rusia
2	"
3	no
4	tiene
5	preferencia
6	"
7	por
8	quién
9	obtenga
10	la
11	victoria
12	en
13	la
14	segunda
15	vuelta
16	en
17	las
18	elecciones
19	,
20	dijo
21	Ivanov
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Rusia	PROPN	4	nsubj
2	"	PUNCT	4	punct
3	no	ADV	4	advmod
4	tiene	VERB	20	ccomp
5	preferencia	NOUN	4	obj
6	"	PUNCT	5	punct
7	por	ADP	9	mark
8	quién	PRON	9	nsubj
9	obtenga	VERB	5	acl
10	la	DET	11	det
11	victoria	NOUN	9	obj
12	en	ADP	15	case
13	la	DET	15	det
14	segunda	ADJ	15	amod
15	vuelta	NOUN	9	obl
16	en	ADP	18	case
17	las	DET	18	det
18	elecciones	NOUN	15	nmod
19	,	PUNCT	4	punct
20	dijo	VERB	0	root
21	Ivanov	PROPN	20	nsubj
22	.	PUNCT	20	punct