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:
Sucedió en Bangkok, donde Buda dejó la huella de su divino pie, motivo por el cual levantaron los thailandeses el hermoso templo de P'hrabat.
Postion	Tokenization
1	Sucedió
2	en
3	Bangkok
4	,
5	donde
6	Buda
7	dejó
8	la
9	huella
10	de
11	su
12	divino
13	pie
14	,
15	motivo
16	por
17	el
18	cual
19	levantaron
20	los
21	thailandeses
22	el
23	hermoso
24	templo
25	de
26	P'hrabat
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Sucedió	VERB	0	root
2	en	ADP	3	case
3	Bangkok	PROPN	1	obl
4	,	PUNCT	7	punct
5	donde	PRON	7	obl
6	Buda	PROPN	7	nsubj
7	dejó	VERB	3	acl
8	la	DET	9	det
9	huella	NOUN	7	obj
10	de	ADP	13	case
11	su	DET	13	det
12	divino	ADJ	13	amod
13	pie	NOUN	9	nmod
14	,	PUNCT	15	punct
15	motivo	NOUN	7	obj
16	por	ADP	18	case
17	el	DET	18	det
18	cual	PRON	19	obl
19	levantaron	VERB	15	acl
20	los	DET	21	det
21	thailandeses	NOUN	19	nsubj
22	el	DET	24	det
23	hermoso	ADJ	24	amod
24	templo	NOUN	19	obj
25	de	ADP	26	case
26	P'hrabat	PROPN	24	nmod
27	.	PUNCT	1	punct