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 pocos años los nuevos automóviles se extendían por todas partes, y en Francia especialmente se celebraban las primeras carreras en las que triunfaron los autos de Daimler.
Postion	Tokenization
1	En
2	pocos
3	años
4	los
5	nuevos
6	automóviles
7	se
8	extendían
9	por
10	todas
11	partes
12	,
13	y
14	en
15	Francia
16	especialmente
17	se
18	celebraban
19	las
20	primeras
21	carreras
22	en
23	las
24	que
25	triunfaron
26	los
27	autos
28	de
29	Daimler
30	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	pocos	DET	3	det
3	años	NOUN	8	obl
4	los	DET	6	det
5	nuevos	ADJ	6	amod
6	automóviles	NOUN	8	nsubj
7	se	PRON	8	expl:pv
8	extendían	VERB	0	root
9	por	ADP	11	case
10	todas	DET	11	det
11	partes	NOUN	8	obl
12	,	PUNCT	18	punct
13	y	CCONJ	18	cc
14	en	ADP	15	case
15	Francia	PROPN	18	obl
16	especialmente	ADV	15	advmod
17	se	PRON	18	expl:pass
18	celebraban	VERB	8	conj
19	las	DET	21	det
20	primeras	ADJ	21	amod
21	carreras	NOUN	18	nsubj
22	en	ADP	24	case
23	las	DET	24	det
24	que	PRON	25	obl
25	triunfaron	VERB	21	acl
26	los	DET	27	det
27	autos	NOUN	25	nsubj
28	de	ADP	29	case
29	Daimler	PROPN	27	nmod
30	.	PUNCT	8	punct