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:
Tras varios forcejeos y gritos de auxilio por la ventana, y presas del miedo, las dos jóvenes saltaron en marcha pensando que el vehículo no iba excesivamente rápido.
Postion	Tokenization
1	Tras
2	varios
3	forcejeos
4	y
5	gritos
6	de
7	auxilio
8	por
9	la
10	ventana
11	,
12	y
13	presas
14	del
15	miedo
16	,
17	las
18	dos
19	jóvenes
20	saltaron
21	en
22	marcha
23	pensando
24	que
25	el
26	vehículo
27	no
28	iba
29	excesivamente
30	rápido
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Tras	ADP	3	case
2	varios	DET	3	det
3	forcejeos	NOUN	20	obj
4	y	CCONJ	5	cc
5	gritos	NOUN	3	conj
6	de	ADP	7	case
7	auxilio	NOUN	5	nmod
8	por	ADP	10	case
9	la	DET	10	det
10	ventana	NOUN	5	nmod
11	,	PUNCT	3	punct
12	y	CCONJ	13	cc
13	presas	ADJ	3	conj
14	del	ADP	15	case
15	miedo	NOUN	13	nmod
16	,	PUNCT	3	punct
17	las	DET	19	det
18	dos	NUM	17	nummod
19	jóvenes	NOUN	20	nsubj
20	saltaron	VERB	0	root
21	en	ADP	22	case
22	marcha	NOUN	20	obl
23	pensando	VERB	20	advcl
24	que	SCONJ	28	mark
25	el	DET	26	det
26	vehículo	NOUN	28	nsubj
27	no	ADV	28	advmod
28	iba	VERB	23	ccomp
29	excesivamente	ADV	30	advmod
30	rápido	ADJ	28	advmod
31	.	PUNCT	20	punct