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:
Junto con el equipo Arrows, también se encuentra en el circuito el ganador del pasado Gran Premio de España, Mika Hakkinen, que rueda junto con el francés Olivier Panis, probador de la escudería McLaren/Mercedes.
Postion	Tokenization
1	Junto
2	con
3	el
4	equipo
5	Arrows
6	,
7	también
8	se
9	encuentra
10	en
11	el
12	circuito
13	el
14	ganador
15	del
16	pasado
17	Gran
18	Premio
19	de
20	España
21	,
22	Mika
23	Hakkinen
24	,
25	que
26	rueda
27	junto
28	con
29	el
30	francés
31	Olivier
32	Panis
33	,
34	probador
35	de
36	la
37	escudería
38	McLaren/Mercedes
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Junto	ADJ	4	case
2	con	ADP	1	fixed
3	el	DET	4	det
4	equipo	NOUN	9	obl
5	Arrows	PROPN	4	appos
6	,	PUNCT	4	punct
7	también	ADV	9	advmod
8	se	PRON	9	expl:pv
9	encuentra	VERB	0	root
10	en	ADP	12	case
11	el	DET	12	det
12	circuito	NOUN	9	obl
13	el	DET	14	det
14	ganador	NOUN	9	nsubj
15	del	ADP	17	case
16	pasado	ADJ	17	amod
17	Gran	ADJ	14	nmod
18	Premio	PROPN	17	flat
19	de	ADP	20	case
20	España	PROPN	17	flat
21	,	PUNCT	22	punct
22	Mika	PROPN	14	appos
23	Hakkinen	PROPN	22	flat
24	,	PUNCT	22	punct
25	que	PRON	26	nsubj
26	rueda	VERB	14	acl
27	junto	ADJ	30	case
28	con	ADP	27	fixed
29	el	DET	30	det
30	francés	NOUN	26	obl
31	Olivier	PROPN	30	appos
32	Panis	PROPN	31	flat
33	,	PUNCT	34	punct
34	probador	NOUN	30	appos
35	de	ADP	37	case
36	la	DET	37	det
37	escudería	NOUN	34	nmod
38	McLaren/Mercedes	PROPN	37	appos
39	.	PUNCT	9	punct