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:
Posteriormente, ambos viajaron a una turística ciudad cercana, Harpers Ferry, y visitaron la granja que es propiedad de Albright, cercana al lugar.
Postion	Tokenization
1	Posteriormente
2	,
3	ambos
4	viajaron
5	a
6	una
7	turística
8	ciudad
9	cercana
10	,
11	Harpers
12	Ferry
13	,
14	y
15	visitaron
16	la
17	granja
18	que
19	es
20	propiedad
21	de
22	Albright
23	,
24	cercana
25	al
26	lugar
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Posteriormente	ADV	4	advmod
2	,	PUNCT	1	punct
3	ambos	NUM	4	nsubj
4	viajaron	VERB	0	root
5	a	ADP	8	case
6	una	DET	8	det
7	turística	ADJ	8	amod
8	ciudad	NOUN	4	obl
9	cercana	ADJ	8	amod
10	,	PUNCT	11	punct
11	Harpers	PROPN	8	appos
12	Ferry	PROPN	11	flat
13	,	PUNCT	11	punct
14	y	CCONJ	15	cc
15	visitaron	VERB	4	conj
16	la	DET	17	det
17	granja	NOUN	15	obj
18	que	PRON	20	nsubj
19	es	AUX	20	cop
20	propiedad	NOUN	17	acl
21	de	ADP	22	case
22	Albright	PROPN	20	nmod
23	,	PUNCT	24	punct
24	cercana	ADJ	17	amod
25	al	ADP	26	case
26	lugar	NOUN	24	nmod
27	.	PUNCT	4	punct