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 text: If they continue to add features so they can justify their likely sky-high valuation, Google risks losing a huge chunk of their customer base to the next keep-it-simple search engine.
Position	Tokenization	UPOS	Head	Deprel
1	If	SCONJ	3	mark
2	they	PRON	3	nsubj
3	continue	VERB	19	advcl
4	to	PART	5	mark
5	add	VERB	3	xcomp
6	features	NOUN	5	obj
7	so	SCONJ	10	mark
8	they	PRON	10	nsubj
9	can	AUX	10	aux
10	justify	VERB	5	advcl
11	their	PRON	16	nmod:poss
12	likely	ADJ	16	amod
13	sky	NOUN	15	obl:npmod
14	-	PUNCT	15	punct
15	high	ADJ	16	amod
16	valuation	NOUN	10	obj
17	,	PUNCT	19	punct
18	Google	PROPN	19	nsubj
19	risks	VERB	0	root
20	losing	VERB	19	xcomp
21	a	DET	23	det
22	huge	ADJ	23	amod
23	chunk	NOUN	20	obj
24	of	ADP	27	case
25	their	PRON	27	nmod:poss
26	customer	NOUN	27	compound
27	base	NOUN	23	nmod
28	to	ADP	37	case
29	the	DET	37	det
30	next	ADJ	37	amod
31	keep	VERB	37	compound
32	-	PUNCT	31	punct
33	it	PRON	31	obj
34	-	PUNCT	31	punct
35	simple	ADJ	31	xcomp
36	search	NOUN	37	compound
37	engine	NOUN	20	obl
38	.	PUNCT	19	punct