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:
Tienen potencial para estar entre los primeros, pero los inicios serán difíciles, como lo serán también en la escudería Williams, que contará con otra fabricante que vuelve a la Fórmula Uno, BMW, y Prost, que a pesar de tener el motor Peugeot, es incapaz de hacer un coche competitivo.
Postion	Tokenization
1	Tienen
2	potencial
3	para
4	estar
5	entre
6	los
7	primeros
8	,
9	pero
10	los
11	inicios
12	serán
13	difíciles
14	,
15	como
16	lo
17	serán
18	también
19	en
20	la
21	escudería
22	Williams
23	,
24	que
25	contará
26	con
27	otra
28	fabricante
29	que
30	vuelve
31	a
32	la
33	Fórmula
34	Uno
35	,
36	BMW
37	,
38	y
39	Prost
40	,
41	que
42	a
43	pesar
44	de
45	tener
46	el
47	motor
48	Peugeot
49	,
50	es
51	incapaz
52	de
53	hacer
54	un
55	coche
56	competitivo
57	.
Position	Tokenization	UPOS	Head	Deprel
1	Tienen	VERB	0	root
2	potencial	NOUN	1	obj
3	para	ADP	4	mark
4	estar	VERB	1	advcl
5	entre	ADP	7	case
6	los	DET	7	det
7	primeros	ADJ	4	obl
8	,	PUNCT	13	punct
9	pero	CCONJ	13	cc
10	los	DET	11	det
11	inicios	NOUN	13	nsubj
12	serán	AUX	13	cop
13	difíciles	ADJ	1	conj
14	,	PUNCT	16	punct
15	como	SCONJ	16	mark
16	lo	PRON	13	advcl
17	serán	AUX	16	cop
18	también	ADV	16	advmod
19	en	ADP	21	case
20	la	DET	21	det
21	escudería	NOUN	16	obl
22	Williams	PROPN	21	appos
23	,	PUNCT	25	punct
24	que	PRON	25	nsubj
25	contará	VERB	21	acl
26	con	ADP	28	case
27	otra	DET	28	det
28	fabricante	NOUN	25	obj
29	que	PRON	30	nsubj
30	vuelve	VERB	28	acl
31	a	ADP	33	case
32	la	DET	33	det
33	Fórmula	PROPN	30	obl
34	Uno	PROPN	33	flat
35	,	PUNCT	36	punct
36	BMW	PROPN	28	appos
37	,	PUNCT	36	punct
38	y	CCONJ	39	cc
39	Prost	PROPN	21	conj
40	,	PUNCT	51	punct
41	que	PRON	51	nsubj
42	a	ADP	45	mark
43	pesar	NOUN	42	fixed
44	de	ADP	42	fixed
45	tener	VERB	51	advcl
46	el	DET	47	det
47	motor	NOUN	45	obj
48	Peugeot	PROPN	47	appos
49	,	PUNCT	45	punct
50	es	AUX	51	cop
51	incapaz	ADJ	39	acl
52	de	ADP	53	mark
53	hacer	VERB	51	acl
54	un	DET	55	det
55	coche	NOUN	53	obj
56	competitivo	ADJ	55	amod
57	.	PUNCT	1	punct