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:
Los modelos se multiplicaron, y en 1828 el príncipe alemán Hermann Puckler-Muskau habla de una diligencia que recorre cinco millas en media hora y desprende un insoportable olor a hierro y grasa.
Postion	Tokenization
1	Los
2	modelos
3	se
4	multiplicaron
5	,
6	y
7	en
8	1828
9	el
10	príncipe
11	alemán
12	Hermann
13	Puckler-Muskau
14	habla
15	de
16	una
17	diligencia
18	que
19	recorre
20	cinco
21	millas
22	en
23	media
24	hora
25	y
26	desprende
27	un
28	insoportable
29	olor
30	a
31	hierro
32	y
33	grasa
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	modelos	NOUN	4	nsubj
3	se	PRON	4	expl:pv
4	multiplicaron	VERB	0	root
5	,	PUNCT	14	punct
6	y	CCONJ	14	cc
7	en	ADP	8	case
8	1828	NOUN	14	obl
9	el	DET	10	det
10	príncipe	NOUN	14	nsubj
11	alemán	ADJ	10	amod
12	Hermann	PROPN	10	appos
13	Puckler-Muskau	PROPN	12	flat
14	habla	VERB	4	conj
15	de	ADP	17	case
16	una	DET	17	det
17	diligencia	NOUN	14	obj
18	que	PRON	19	nsubj
19	recorre	VERB	17	acl
20	cinco	NUM	21	nummod
21	millas	NOUN	19	obj
22	en	ADP	24	case
23	media	ADJ	24	amod
24	hora	NOUN	19	obl
25	y	CCONJ	26	cc
26	desprende	VERB	19	conj
27	un	DET	29	det
28	insoportable	ADJ	29	amod
29	olor	NOUN	26	obj
30	a	ADP	31	case
31	hierro	NOUN	29	nmod
32	y	CCONJ	33	cc
33	grasa	NOUN	31	conj
34	.	PUNCT	4	punct