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:
Puntualizó también que este modelo ocupará una posición estratégica dentro de BMW, una marca que ahora se queda sin vehículos compactos hasta la producción de la anunciada serie 2.
Postion	Tokenization
1	Puntualizó
2	también
3	que
4	este
5	modelo
6	ocupará
7	una
8	posición
9	estratégica
10	dentro
11	de
12	BMW
13	,
14	una
15	marca
16	que
17	ahora
18	se
19	queda
20	sin
21	vehículos
22	compactos
23	hasta
24	la
25	producción
26	de
27	la
28	anunciada
29	serie
30	2
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Puntualizó	VERB	0	root
2	también	ADV	1	advmod
3	que	SCONJ	6	mark
4	este	DET	5	det
5	modelo	NOUN	6	nsubj
6	ocupará	VERB	1	ccomp
7	una	DET	8	det
8	posición	NOUN	6	obj
9	estratégica	ADJ	8	amod
10	dentro	ADV	8	advmod
11	de	ADP	12	case
12	BMW	PROPN	10	obl
13	,	PUNCT	15	punct
14	una	DET	15	det
15	marca	NOUN	12	appos
16	que	PRON	19	nsubj
17	ahora	ADV	19	advmod
18	se	PRON	19	expl:pv
19	queda	VERB	15	acl
20	sin	ADP	21	case
21	vehículos	NOUN	19	obj
22	compactos	ADJ	21	amod
23	hasta	ADP	25	case
24	la	DET	25	det
25	producción	NOUN	19	obl
26	de	ADP	29	case
27	la	DET	29	det
28	anunciada	ADJ	29	amod
29	serie	NOUN	25	nmod
30	2	NUM	29	nummod
31	.	PUNCT	1	punct