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:
Queda la última contrarreloj y es más fácil que las piernas del segoviano se muestren, en la última semana, más frágiles que la moral del suizo.
Postion	Tokenization
1	Queda
2	la
3	última
4	contrarreloj
5	y
6	es
7	más
8	fácil
9	que
10	las
11	piernas
12	del
13	segoviano
14	se
15	muestren
16	,
17	en
18	la
19	última
20	semana
21	,
22	más
23	frágiles
24	que
25	la
26	moral
27	del
28	suizo
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Queda	VERB	0	root
2	la	DET	4	det
3	última	ADJ	4	amod
4	contrarreloj	NOUN	1	nsubj
5	y	CCONJ	8	cc
6	es	AUX	8	cop
7	más	ADV	8	advmod
8	fácil	ADJ	1	conj
9	que	SCONJ	15	mark
10	las	DET	11	det
11	piernas	NOUN	15	nsubj
12	del	ADP	13	case
13	segoviano	NOUN	11	nmod
14	se	PRON	15	expl:pv
15	muestren	VERB	8	csubj
16	,	PUNCT	20	punct
17	en	ADP	20	case
18	la	DET	20	det
19	última	ADJ	20	amod
20	semana	NOUN	15	obl
21	,	PUNCT	20	punct
22	más	ADV	23	advmod
23	frágiles	ADJ	15	obj
24	que	SCONJ	26	mark
25	la	DET	26	det
26	moral	NOUN	23	obl
27	del	ADP	28	case
28	suizo	NOUN	26	nmod
29	.	PUNCT	1	punct