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:
"Creo que ellos tienen su punto de vista para quejarse, pero por otra parte, la hierba siempre ha sido diferente.
Postion	Tokenization
1	"
2	Creo
3	que
4	ellos
5	tienen
6	su
7	punto
8	de
9	vista
10	para
11	quejarse
12	quejar
13	se
14	,
15	pero
16	por
17	otra
18	parte
19	,
20	la
21	hierba
22	siempre
23	ha
24	sido
25	diferente
26	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Creo	VERB	0	root
3	que	SCONJ	5	mark
4	ellos	PRON	5	nsubj
5	tienen	VERB	2	ccomp
6	su	DET	7	det
7	punto	NOUN	5	obj
8	de	ADP	9	case
9	vista	NOUN	7	nmod
10	para	ADP	11	mark
11	quejarse	_	None	_
12	quejar	VERB	7	acl
13	se	PRON	11	expl:pv
14	,	PUNCT	24	punct
15	pero	CCONJ	24	cc
16	por	ADP	24	advmod
17	otra	NOUN	15	fixed
18	parte	NOUN	15	fixed
19	,	PUNCT	15	punct
20	la	DET	20	det
21	hierba	NOUN	24	nsubj
22	siempre	ADV	24	advmod
23	ha	AUX	24	aux
24	sido	AUX	24	cop
25	diferente	ADJ	2	conj
26	.	PUNCT	2	punct