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:
En 1887 circuló por primera vez un carruaje de cuatro ruedas hecho por Daimler a 18 kilómetros por hora, y en 1891 el primer camión con dos marchas delante y una atrás.
Postion	Tokenization
1	En
2	1887
3	circuló
4	por
5	primera
6	vez
7	un
8	carruaje
9	de
10	cuatro
11	ruedas
12	hecho
13	por
14	Daimler
15	a
16	18
17	kilómetros
18	por
19	hora
20	,
21	y
22	en
23	1891
24	el
25	primer
26	camión
27	con
28	dos
29	marchas
30	delante
31	y
32	una
33	atrás
34	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	1887	NOUN	3	obl
3	circuló	VERB	0	root
4	por	ADP	6	case
5	primera	ADJ	6	amod
6	vez	NOUN	3	obl
7	un	DET	8	det
8	carruaje	NOUN	3	nsubj
9	de	ADP	11	case
10	cuatro	NUM	11	nummod
11	ruedas	NOUN	8	nmod
12	hecho	ADJ	8	amod
13	por	ADP	14	case
14	Daimler	PROPN	12	obj
15	a	ADP	17	case
16	18	NUM	17	nummod
17	kilómetros	NOUN	3	obl
18	por	ADP	19	case
19	hora	NOUN	17	nmod
20	,	PUNCT	26	punct
21	y	CCONJ	26	cc
22	en	ADP	23	case
23	1891	NOUN	26	obl
24	el	DET	26	det
25	primer	ADJ	26	amod
26	camión	NOUN	3	conj
27	con	ADP	29	case
28	dos	NUM	29	nummod
29	marchas	NOUN	26	nmod
30	delante	ADV	29	advmod
31	y	CCONJ	32	cc
32	una	PRON	29	conj
33	atrás	ADV	32	advmod
34	.	PUNCT	3	punct