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:
Cierta idea metafísica del trabajo como ley suprema triunfa incluso en las largas hileras de vehículos que, parachoques contra parachoques, vuelven tras el fin de semana.
Postion	Tokenization
1	Cierta
2	idea
3	metafísica
4	del
5	trabajo
6	como
7	ley
8	suprema
9	triunfa
10	incluso
11	en
12	las
13	largas
14	hileras
15	de
16	vehículos
17	que
18	,
19	parachoques
20	contra
21	parachoques
22	,
23	vuelven
24	tras
25	el
26	fin
27	de
28	semana
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Cierta	DET	2	det
2	idea	NOUN	9	nsubj
3	metafísica	ADJ	2	amod
4	del	ADP	5	case
5	trabajo	NOUN	2	nmod
6	como	SCONJ	7	mark
7	ley	NOUN	5	nmod
8	suprema	ADJ	7	amod
9	triunfa	VERB	0	root
10	incluso	ADV	9	advmod
11	en	ADP	10	case
12	las	DET	14	det
13	largas	ADJ	14	amod
14	hileras	NOUN	10	nmod
15	de	ADP	16	case
16	vehículos	NOUN	14	nmod
17	que	PRON	23	nsubj
18	,	PUNCT	19	punct
19	parachoques	NOUN	23	obl
20	contra	ADP	21	case
21	parachoques	NOUN	19	nmod
22	,	PUNCT	19	punct
23	vuelven	VERB	16	acl
24	tras	ADP	26	case
25	el	DET	26	det
26	fin	NOUN	23	obl
27	de	ADP	28	case
28	semana	NOUN	26	nmod
29	.	PUNCT	9	punct