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:
El modelo Sierra toma su nombre de esa palabra española, aprovechando que no es en absoluto extraña al mundo anglosajón: ya aparece en inglés americano en 1759.
Postion	Tokenization
1	El
2	modelo
3	Sierra
4	toma
5	su
6	nombre
7	de
8	esa
9	palabra
10	española
11	,
12	aprovechando
13	que
14	no
15	es
16	en
17	absoluto
18	extraña
19	al
20	mundo
21	anglosajón
22	:
23	ya
24	aparece
25	en
26	inglés
27	americano
28	en
29	1759
30	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	modelo	NOUN	4	nsubj
3	Sierra	PROPN	2	nmod
4	toma	VERB	0	root
5	su	DET	6	det
6	nombre	NOUN	4	obj
7	de	ADP	9	case
8	esa	DET	9	det
9	palabra	NOUN	4	obl
10	española	ADJ	9	amod
11	,	PUNCT	12	punct
12	aprovechando	VERB	4	advcl
13	que	SCONJ	18	mark
14	no	ADV	18	advmod
15	es	AUX	18	cop
16	en	ADP	18	advmod
17	absoluto	NOUN	16	fixed
18	extraña	ADJ	12	ccomp
19	al	ADP	20	case
20	mundo	NOUN	18	nmod
21	anglosajón	ADJ	20	amod
22	:	PUNCT	24	punct
23	ya	ADV	24	advmod
24	aparece	VERB	4	advcl
25	en	ADP	26	case
26	inglés	NOUN	24	obl
27	americano	ADJ	26	amod
28	en	ADP	29	case
29	1759	NOUN	24	obl
30	.	PUNCT	4	punct