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:
Al arribar a La Paz, dos horas después de partir del corazón del Amazonas, la temperatura en el altiplano boliviano era de 10,3 grados, con vientos moderados.
Postion	Tokenization
1	Al
2	arribar
3	a
4	La
5	Paz
6	,
7	dos
8	horas
9	después
10	de
11	partir
12	del
13	corazón
14	del
15	Amazonas
16	,
17	la
18	temperatura
19	en
20	el
21	altiplano
22	boliviano
23	era
24	de
25	10,3
26	grados
27	,
28	con
29	vientos
30	moderados
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Al	ADP	2	mark
2	arribar	VERB	26	advcl
3	a	ADP	5	case
4	La	DET	5	det
5	Paz	PROPN	2	obl
6	,	PUNCT	9	punct
7	dos	NUM	8	nummod
8	horas	NOUN	9	obl
9	después	ADV	2	advmod
10	de	ADP	11	mark
11	partir	VERB	9	advcl
12	del	ADP	13	case
13	corazón	NOUN	11	obl
14	del	ADP	15	case
15	Amazonas	PROPN	13	nmod
16	,	PUNCT	2	punct
17	la	DET	18	det
18	temperatura	NOUN	26	nsubj
19	en	ADP	21	case
20	el	DET	21	det
21	altiplano	NOUN	18	nmod
22	boliviano	ADJ	21	amod
23	era	AUX	26	cop
24	de	ADP	26	case
25	10,3	NUM	26	nummod
26	grados	NOUN	0	root
27	,	PUNCT	29	punct
28	con	ADP	29	case
29	vientos	NOUN	26	nmod
30	moderados	ADJ	29	amod
31	.	PUNCT	26	punct