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:
"Me siento frustrado por la forma como hemos perdido un partido que sicológicamente necesitábamos ganar", declaró el entrenador de los Lakers, Phil Jackson.
Postion	Tokenization
1	"
2	Me
3	siento
4	frustrado
5	por
6	la
7	forma
8	como
9	hemos
10	perdido
11	un
12	partido
13	que
14	sicológicamente
15	necesitábamos
16	ganar
17	"
18	,
19	declaró
20	el
21	entrenador
22	de
23	los
24	Lakers
25	,
26	Phil
27	Jackson
28	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	3	punct
2	Me	PRON	3	expl:pv
3	siento	VERB	19	ccomp
4	frustrado	ADJ	3	obj
5	por	ADP	7	case
6	la	DET	7	det
7	forma	NOUN	4	obl
8	como	PRON	10	obl
9	hemos	AUX	10	aux
10	perdido	VERB	7	acl
11	un	DET	12	det
12	partido	NOUN	10	obj
13	que	PRON	15	iobj
14	sicológicamente	ADV	15	advmod
15	necesitábamos	VERB	12	acl
16	ganar	VERB	15	xcomp
17	"	PUNCT	3	punct
18	,	PUNCT	3	punct
19	declaró	VERB	0	root
20	el	DET	21	det
21	entrenador	NOUN	19	nsubj
22	de	ADP	24	case
23	los	DET	24	det
24	Lakers	PROPN	21	nmod
25	,	PUNCT	26	punct
26	Phil	PROPN	21	appos
27	Jackson	PROPN	26	flat
28	.	PUNCT	19	punct