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:
Detrás, Laudelino Cubino hacía de gregario y aguantaba el tipo para que su compañero le diera a Kelme la primera victoria en la Vuelta.
Postion	Tokenization
1	Detrás
2	,
3	Laudelino
4	Cubino
5	hacía
6	de
7	gregario
8	y
9	aguantaba
10	el
11	tipo
12	para
13	que
14	su
15	compañero
16	le
17	diera
18	a
19	Kelme
20	la
21	primera
22	victoria
23	en
24	la
25	Vuelta
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Detrás	ADV	5	advmod
2	,	PUNCT	1	punct
3	Laudelino	PROPN	5	nsubj
4	Cubino	PROPN	3	flat
5	hacía	VERB	0	root
6	de	ADP	7	case
7	gregario	NOUN	5	obj
8	y	CCONJ	9	cc
9	aguantaba	VERB	5	conj
10	el	DET	11	det
11	tipo	NOUN	9	obj
12	para	ADP	17	mark
13	que	SCONJ	17	mark
14	su	DET	15	det
15	compañero	NOUN	17	nsubj
16	le	PRON	17	obj
17	diera	VERB	5	advcl
18	a	ADP	19	case
19	Kelme	PROPN	17	obj
20	la	DET	22	det
21	primera	ADJ	22	amod
22	victoria	NOUN	17	obj
23	en	ADP	25	case
24	la	DET	25	det
25	Vuelta	PROPN	22	nmod
26	.	PUNCT	5	punct