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:
Zülle, no obstante, sigue siendo el máximo candidato para ocupar, al menos, ese tercer lugar.
Postion	Tokenization
1	Zülle
2	,
3	no
4	obstante
5	,
6	sigue
7	siendo
8	el
9	máximo
10	candidato
11	para
12	ocupar
13	,
14	al
15	menos
16	,
17	ese
18	tercer
19	lugar
20	.
Position	Tokenization	UPOS	Head	Deprel
1	Zülle	PROPN	6	nsubj
2	,	PUNCT	3	punct
3	no	PART	6	advmod
4	obstante	NOUN	3	fixed
5	,	PUNCT	3	punct
6	sigue	VERB	0	root
7	siendo	AUX	10	cop
8	el	DET	10	det
9	máximo	ADJ	10	amod
10	candidato	NOUN	6	xcomp
11	para	ADP	12	mark
12	ocupar	VERB	10	advcl
13	,	PUNCT	14	punct
14	al	ADP	12	advmod
15	menos	ADV	14	fixed
16	,	PUNCT	14	punct
17	ese	DET	19	det
18	tercer	ADJ	19	amod
19	lugar	NOUN	12	obj
20	.	PUNCT	6	punct